Data Engineer

Job Description-

• Proficient in Python programming data pipeline development, transformation logic, and automation scripts

• Proficient in data query and analysis using SQL, including window functions, partitioning, and time-series query patterns

• Hands-on experience with Microsoft Fabric OneLake, Fabric Data Factory pipelines, Fabric Lakehouse, and Fabric Warehouse (SQL endpoint)

• Proficient knowledge of Delta Lake table creation, incremental merges, Z-ordering, and Change Data Feed for downstream reconciliation

• Proficient with Azure cloud technologies Azure Data Factory, Azure SQL, Azure Key Vault, and role-based access control (RBAC)

• Proficient in AI-assisted development tools such as GitHub Copilot, Cursor, or others for accelerating code generation and enhancing developer productivity

• Code versioning and collaboration using Git branching strategies, pull request workflows, and pipeline-as-code practices

• Familiarity with REST APIs consuming external data vendor APIs and building service-layer integrations.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.