Sr. Data Engineer - Microsoft Fabric

Advanced experience with Power BI modeling, DAX, and enterprise semantic models. - Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems. - Certifications such as DP-700, Fabric certifications, or related cloud/data credentials. - Familiarity with Microsoft Purview or other Fabric governance capabilities. - Ensuring compliance with regulatory, privacy, and retention requirements. - Managing overall data security including row-level. - Experience with real-time analytics (Event Stream, KQL databases, streaming ingestion). As a Senior Data Engineer at RGP, you will be joining the Data and Analytics team to work on designing, building, and optimizing scalable data solutions across the Microsoft Fabric/Azure ecosystem. Your primary responsibilities will include:

Architecting and developing data ingestion from various sources like APIs, SaaS platforms, and on-premises systems using Fabric Pipelines & Notebooks/PySpark. - Building and optimizing Lakehouses, Delta tables, and Power BI semantic models to support enterprise analytics and reporting. - Monitoring and fine-tuning performance, storage layout, and capacity usage for cost efficiency, scalability, and reliability. - Implementing data quality frameworks, validation rules, automated testing, and enhancements to CI/CD, Git, and DevOps processes. - Contributing to data governance, lineage, cataloging, and metadata management initiatives. - Collaborating with analysts, data scientists, and business teams to deliver analytics-ready datasets and models. - Mentoring junior engineers and helping define best practices in data engineering and architecture. - Providing ongoing development and support for the legacy on-premises SQL/SSIS/SSAS/SSRS environment during the transition and decommissioning. To qualify for this role, you will need:

Bachelors or Masters degree in computer science, Engineering, or a related field. - 10+ years of experience in data engineering or a similar role. - Expert-level proficiency in SQL, data transformations, and performance tuning. - Extensive experience with Python, PySpark, or Spark-based distributed processing technologies. - Proven expertise with Microsoft Fabric, Azure Data Factory, Synapse, and/or Azure Data Services. - Strong understanding of ETL/ELT architecture across diverse data sources and consolidations. - Experience with CI/CD, DevOps practices, Git, and automated testing frameworks and their setup with data warehouse environments. - Experience with modern data visualization tools. - Strong problem-solving skills within a scalable data solution. Preferred qualifications for this role include:

Advanced experience with Power BI modeling, DAX, and enterprise semantic models. - Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems. - Certi