Azure Data Engineer

2 weeks ago

India SystemBender Full time

Position: Data Engineer Department: Data & AI ROLE OVERVIEW Responsible for designing and maintaining scalable data pipelines on Microsoft Fabric and Azure. Focus includes ingesting structured, semi-structured, and unstructured data, managing OneLake/Delta Lake, and implementing CI/CD-driven deployments for analytics and AI workloads. KEY RESPONSIBILITIES - Design and build end-to-end pipelines across Bronze, Silver, and Gold layers in Microsoft Fabric. - Ingest and transform structured (SQL), semi-structured (JSON, Parquet, CSV), and unstructured data (PDFs, logs, images). - Develop Fabric Dataflows Gen2, Spark notebooks, and Data Pipelines for batch or near-real-time ingestion. - Manage OneLake and Delta Lake tables (partitioning, schema evolution, performance tuning). - Implement data quality checks, metadata tagging, lineage, and logging processes. - Integrate curated data with Power BI semantic models and downstream AI workloads. - Apply governance using Microsoft Purview, including sensitivity labels and lineage tracking. - Configure secure data access using RLS, ACLs, and Azure Key Vault integration. - Implement CI/CD pipelines for Fabric, ADF, Synapse, or Databricks workloads using Azure DevOps or GitHub Actions. - Manage version control, branching strategies, automated testing, and deployment workflows. - Monitor data pipelines using Monitoring Hub, Azure Monitor, and Log Analytics. QUALIFICATIONS - Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or related field.

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