Azure Data Engineer - ETL / SQL

Job Description : Data Engineer Azure Data Pipelines & Governance

Overview :

We are seeking a hands-on Data Engineer to develop, optimize, and maintain automated data pipelines supporting data governance and analytics initiatives.

This role will focus on building production-ready workflows for ingestion, transformation, quality checks, lineage capture, access auditing, cost usage analysis, retention tracking, and metadata integration, primarily using Azure Databricks, Azure Data Lake, and Microsoft Purview.

Location : Offshore.

Experience : 4+ years in data engineering, with strong Azure and Databricks experience.

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.

Required Qualifications :

Preferred Qualifications :

(ref : hirist.tech)