Data Engineer

We are seeking a mid-level Azure Data Fabric Engineer to help us architect and implement modern data solutions using the Microsoft Fabric ecosystem. You will be responsible for streamlining data workflows, implementing OneLake architectures, and enabling seamless data integration and analytics across the enterprise.

Key Responsibilities

• Fabric Architecture: Design and maintain end-to-end data pipelines and Lakehouses within the Microsoft Fabric ecosystem.
• Unified Storage: Implement and optimize OneLake structures to create a seamless, single source of truth for diverse data assets.
• Data Engineering: Develop scalable ETL/ELT workflows using Synapse Data Engineering and Data Factory.
• Performance Tuning: Optimize Fabric capacity and compute usage to ensure cost-efficient, high-speed data processing.
• Collaboration: Partner with Data Scientists and BI teams to deliver structured, high-fidelity datasets for GenAI and advanced analytics.

Required Skills and Qualifications

• Ecosystem Mastery: 3-5 years in Azure Data Engineering with focused experience in Microsoft Fabric, Synapse Analytics, and OneLake.
• Languages: Advanced proficiency in Python (PySpark) and Complex SQL.
• Frameworks: Hands-on experience with Delta Lake formats, Medallion Architecture, and Spark-based processing.
• Orchestration: Proven ability to build and monitor pipelines in Data Factory and manage CI/CD via Azure DevOps.
• Data Modeling: Good understanding of Star/Snowflake schemas and semantic modeling.