Job Description

Title: Azure Data Engineer
Location: Chennai, Hyderabad, Bengaluru
Exp: 4+ yrs
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Key Responsibilities

• Pipeline Development - Design, build, and deploy robust ETL/ELT pipelines in Databricks (PySpark, SQL, Delta Lake) to ingest, transform, and curate governance and operational metadata from multiple sources landed in Databricks.
• Granular Data Quality Capture - Implement profiling logic to capture issue-level metadata (source table, column, timestamp, severity, rule type) to support drill-down from dashboards into specific records and enable targeted remediation.
• Governance Metrics Automation - Develop data pipelines to generate metrics for dashboards covering data quality, lineage, job monitoring, access & permissions, query cost, usage & consumption, retention & lifecycle, policy enforcement, sensitive data mapping, and governance KPIs.
• Microsoft Purview Integration - Automate asset onboarding, metadata enrichment, classification tagging, and lineage extraction for integration into governance reporting.
• Data Retention & Policy Enforcement - Implement logic for retention tracking and policy compliance monitoring (masking, RLS, exceptions).
• Job & Query Monitoring - Build pipelines to track job performance, SLA adherence, and query costs for cost and performance optimization.
• Metadata Storage & Optimization - Maintain curated Delta tables for governance metrics, structured for efficient dashboard consumption.
• Testing & Troubleshooting - Monitor pipeline execution, optimize performance, and resolve issues quickly.
• Collaboration - Work closely with the lead engineer, QA, and reporting teams to validate metrics and resolve data quality issues.
• Security & Compliance - Ensure all pipelines meet organizational governance, privacy, and security standards.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• 4+ years of hands-on data engineering experience, with Azure Databricks and Azure Data Lake
• Proficiency in PySpark, SQL, and ETL/ELT pipeline design
• Demonstrated experience building granular data quality checks and integrating governance logic into pipelines
• Working knowledge of Microsoft Purview for metadata management, lineage capture, and classification
• Experience with Azure Data Factory or equivalent orchestration tools
• Understanding of data modeling, metadata structures, and data cataloging concepts
• Strong debugging, performance tuning, and problem-solving skills
• Ability to document pipeline logic and collaborate with cross-functional teams

• Microsoft certification in Azure Data Engineering
• Experience in governance-heavy or regulated environments (e.g., finance, healthcare, hospitality)
• Exposure to Power BI or other BI tools as a data source consumer
• Familiarity with DevOps/CI-CD for data pipelines in Azure
• Experience integrating both cloud and on-premises data sources into Azure