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RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework - covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

Required Qualifications

• Bachelor's or Master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, QA development or a similar role
• Solid understanding of trunk-based development branching strategies
• Experience with data quality frameworks such as Great Expectations, dtd test, or Soda
• Strong experience with Python, PySpark, or Spark-based distributed processing technologies
• Proven expertise with Microsoft Fabric, Azure Data Factory, Databricks, Synapse or Azure Data Services
• Data profiling and lineage tracing
• Experience with CI/CD, DevOps practices, Git and automated testing frameworks.
• Experience writing automated tests and familiar with data testing concepts (row counts, schema validation, referential integrity, etc.)
• Familiarity with Azure Key Vault, Microsoft Entra ID, and role-based access control concepts
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with Microsoft Purview for data governance and sensitivity labeling
• Familiarity with Power BI workspace management, deployment pipelines, and row level security configuration
• Experience with ensuring compliance with regulatory, privacy, and retention requirements
• Prior work on a Medallion (Bronze/Silver/Gold) lakehouse project
• Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems
• High level of proficiency in SQL, data transformations, and performance tuning

Company: FutureTEC

Location: Kuwait

Employment Type: Full-Time

Role Overview

FutureTEC is seeking a skilled Microsoft Power Platform Consultant to design, develop, and deliver business applications and analytics solutions using Microsoft’s Power Platform.

This is a client-facing role focused on enabling organizations to automate processes, build low-code applications, and generate business insights. The role plays a key part in delivering fast, high-impact solutions and supporting FutureTEC’s Microsoft ecosystem growth.

Key Responsibilities

Solution Development

• Design and develop applications using Power Apps
• Build automated workflows using Power Automate
• Develop dashboards and reports using Power BI

Business Process Automation

• Analyze business requirements and translate them into solutions
• Automate workflows and improve operational efficiency
• Implement low-code solutions aligned with business needs

Client Engagement

• Work closely with clients to understand requirements
• Conduct workshops and solution demonstrations
• Provide guidance on best practices and solution design

Integration & Delivery

• Integrate Power Platform solutions with other systems and

Job Title:Data Architect – Azure & Microsoft Stack

Location: Hyderabad (Work from Office)

Job Type: Full-time

Shift Time - 1.30 to 10.30 pm (IST) Monday to Friday

About BizAcuity

BizAcuity is on a mission to help enterprises get most out of their data by providing Business Intelligence and Data Analytics services, product development and consulting services for clients across globe in various domains / verticals.

Established in 2011, by a strong leadership team and a team of 200+ engineers, we have made a mark as a world class service provider and compete with large service providers to win business. BizAcuity has developed and delivered high class enterprise solutions to many medium to large clients using modern and the best technologies in the data engineering and analytics world.

Our services include - Business Intelligence Consulting , Advanced Analytics, Managed Services, Data Management, Cloud Services, Technology Consulting , Application Development and Product Engineering.

For more info on BizAcuity visit -

Position Overview

We are seeking an experienced Data Architect to design and implement robust data

solutions across our hybrid infrastructure environment. The ideal candidate will

combine deep technical expertise in Microsoft technologies with strong business

acumen and the ability to lead complex data initi

RGP is seeking a highly skilled and experienced Microsoft Fabric Sr. Data Engineer to join our Data and Analytics team. The ideal candidate will have experience with the SDLC for modern cloud-based data environments, automated data quality controls, and hands-on experience within Microsoft Fabric.

You will design and maintain CI/CD pipelines, development branching strategies, build automated data quality tests, and set up the release gates for environment promotions from Dev through Production for all aspects of our internal data projects.

Key Responsibilities

• Design and maintain CI/CD pipelines for automatic deployment of Fabric artifacts (notebooks, pipelines, semantic models, etc.) across all workspaces
• Design and maintain branching strategies
• Create test strategy and test plans; impact analysis and risk matrix
• Define and implement a data quality framework – covering completeness, accuracy, uniqueness, referential integrity, and business rule validation
• Write and maintain automated tests integrated into our data lineage and CI pipelines.
• Build and optimize Lakehouses, Delta tables, and Power BI Semantic Models to support enterprise analytics and reporting
• Configure Fabric monitoring/alerts for failures, long-running jobs, and capacity alerts and audit logs and logging
• Contribute to data governance, lineage, cataloging, and metadata management initiatives

<

Role Summary:

We are looking for a highly experienced Business Central Lead with strong expertise in manufacturing, finance, and warehouse modules. The ideal candidate will drive end-to-end solution design, lead offshore delivery, and ensure robust environment and release management practices.

Key Responsibilities :

• Lead the design, development, and implementation of solutions on Microsoft Dynamics 365 Business Central
• Act as the offshore lead, managing delivery, timelines, and team coordination
• Own end-to-end architecture across Manufacturing, Finance, and Warehouse modules
• Collaborate with stakeholders to gather requirements and translate them into scalable solutions
• Ensure best practices in code quality, performance, and system design
• Manage environment strategy (Dev, Test, UAT, Prod) and deployments
• Drive branching strategy, version control, and release management processes
• Support integrations with external systems (ERP, CRM, third-party tools)
• Troubleshoot complex issues and provide production support when required

Skill & Qualification:

• 8+ years of experience working with Microsoft Dynamics 365 Business Central / Dynamics NAV, with strong hands-on development and solutioning expertise
• Deep functional and technical knowledge across Manufacturing, Finance,

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big?

We Need You.

Job Description

Job Title: COLLABORATION SPECIALIST – Microsoft365 Management

Location: Bangalore (Onsite)

Reporting to: Senior Manager CPCOE

PURPOSE OF ROLE : The M365 Architect defines and governs the Microsoft 365 architecture to ensure secure, scalable, and business-aligned collaboration services. The role provides strategic technical leadership, translating business needs into

We are looking for a skilled Data Engineer with 5–7 years of experience in Microsoft Fabric and Delta Lake, ETL development and SQL. The role involves designing and maintaining scalable data pipelines using Azure Data Factory (ADF), ensuring reliable data integration and performance across systems.

About think bridge

We are a global digital product development firm that helps growth-stage companies gain the technology sophistication and maturity of leading modern digital businesses. We differentiate ourselves by delivering exceptional quality at scale and speed with our thinkstack accelerators. We started with the vision of being able to build amazing software fast. A new way to build software without any of the compromises that currently plague software development. A new way to focus on the outcomes instead of the tech, tools, methodologies, processes and vanity artifacts.

Why is think bridge a great place to work?

At think bridge, we are not just paving the way for exceptional digital experiences; we're also redefining the future of work. Our "Remote First" philosophy allows you to take a dive into a world where work doesn’t tie you down. We’re pioneering a Remote First approach, ensuring you’re connected, no matter where you are. We foster and encourage a diverse and inclusive work culture where employees feel valued, respected, are encouraged to voice their ideas,

Company Description

EnpowerTek India serves as the regional technology division of EnpowerTek, specializing in creating scalable, secure, and cloud-native solutions. The organization is dedicated to leveraging its technical expertise to drive innovation and create significant global impact. Focused on cutting-edge advancements, EnpowerTek India fosters a dynamic environment for technology professionals. By delivering high-quality solutions, the company supports the evolving needs of its customers worldwide.

Role Summary

The Microsoft 365 Platform Administrator is responsible for the  administration, configuration, security, and operational excellence of the Microsoft 365 platform, with  deep hands‑on expertise in the Power Platform (Power Apps, Power Automate, Power BI, Data verse).

This role serves as a  platform generalist with Power Platform strength , ensuring Microsoft 365 services are  secure, scalable, well‑governed, and aligned to enterprise standards , while enabling business automation, collaboration, and digital productivity across the organization.

Key Responsibilities

Microsoft 365 Platform Administration

• Administer and support core Microsoft 365 services, including:
• SharePoint Online
• Microsoft Teams
• Power Platform
• Support identity, access, and role‑based admini

Sr. Data Architect

RGP is seeking a highly skilled and experienced Microsoft Fabric Senior Data Architect to join our Data and Analytics team.

The ideal candidate will have deep knowledge of modern cloud-based data structures and hands-on experience within Microsoft Fabric. You will help design, build, and optimize scalable data solutions across the Fabric/Azure ecosystem – including bronze ingestion, silver and gold transformation layers, Lakehouse design, and support for Power Bi and AI enablement – as we transition from an on-premises SQL Environment to Microsoft Fabric

Key Responsibilities

• Architect and develop data ingestion from APIs, SaaS platforms, on-premises systems, and other sources using Fabric Pipelines & Notebooks/PySpark with reusable data transformation frameworks for our ETL/ELT processes.
• Build and optimize Lakehouses, Delta tables, and Power BI semantic models to support enterprise analytics and reporting.
• Monitor and fine-tune performance, storage layout, and capacity usage for cost efficiency, scalability, and reliability.
• Implement data quality frameworks, validation rules, automated testing and enhancements to CI/CD, Git, and DevOps processes.
• Contribute to data governance, lineage, cataloging, and metadata management initiatives.
• Collaborate with analysts, data scientists, and business teams to deliver analytics-ready datasets

We’re Hiring – D365 R2R Functional Consultant | Bangalore

Hi Connections,

We are currently looking for an experienced D365 R2R (Record to Report) Functional Consultant to join our team in Bangalore .

Role Details:

Location: Bangalore

Experience: 6–9 Years

✅ Key Requirements:

• Strong experience in D365 / Microsoft Dynamics 365 ERP
• Hands-on expertise in R2R (Record to Report) process
• Good knowledge of General Ledger (GL) & Accounts Receivable (AR)
• Strong understanding of Finance & Accounting processes
• Experience in functional consulting, configuration, and support
• Good communication and stakeholder management skills

Preferred:

• Background in Finance (B.Com / M.Com / CA)
• Experience in implementation/support projects

Interested candidates can share resumes to:

nivetha.s@eminds.ai

Hiring: Lead Business Systems Analyst – ERP (Record-to-Report)

We are looking for a highly experienced Lead Business Systems Analyst / Product Owner with deep expertise in Record-to-Report (R2R) and Microsoft Dynamics 365 Finance & Operations (D365 F&O) to join our Enterprise Solutions team.

Location: Bangalore / Hyderabad (Hybrid)

Experience: 10+ years

Role: Lead BSA – ERP (R2R) / Product Owner

Role Overview

This is a hybrid Business Systems Analyst + Product Owner role responsible for driving system enhancements, optimizing financial processes, and ensuring stability of global financial systems. You will partner with Finance, Accounting, and IT teams to deliver scalable, compliant, and high-performing ERP solutions.

Key Responsibilities

Product Ownership & Strategy

• Own D365 F&O product vision, roadmap, and backlog for R2R

• Translate business needs into user stories and release plans

• Act as a bridge between Finance, IT, and development teams

Functional Expertise (R2R)

• SME in General Ledger, Fixed Assets, Intercompany, Consolidations, Financial Reporting

• Lead requirement gathering, process design, and solutioning

Production Support & Operations

• Handle incident triage, root cause analysis, and issue resolution

• Support month-end and year-end close