Data Engineer
Cloud/Data Platform: Snowflake, Microsoft Fabric (Lakehouse, Warehouse, Dataflows)
Azure: Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2)
Languages/Database: Python, Advanced SQL, Data Transformation & Performance Tuning
Data Transformation: dbt, ETL/ELT Pipeline Development
Data Engineering: Data Modeling, Schema Design, Data Quality & Validation Frameworks
Architecture: Data Lakehouse, Medallion Architecture (Bronze, Silver & Gold)
BI/Analytics: Looker, Reporting & Data Visualization
Version Control: Git
DevOps: CI/CD Fundamentals
Integration: Multiple Source Systems, Data Ingestion, Data Synchronization
Governance: Metadata Management, Data Cataloging, Data Governance & Security
AI/ML: AI/ML Platforms and Proprietary AI Tools – Desirable
Cloud: Azure, GCP – Advantage
Shift: Night Shift
Note: UAN Mandatory. Candidates must have hands-on experience with Azure Data Factory, Azure Data Lake Storage, and Microsoft Fabric (Lakehouses and Warehouses).
Work Location: Remote
