
Lead Data Pipeline Developer
3 days ago
Job Role:
Azure Data Engineer - Data Pipelines & Governance
About the PositionWe are seeking a skilled Azure Data Engineer to develop, optimize, and maintain automated data pipelines in support of our data governance and analytics initiatives.
Main Responsibilities:- Pipeline Development - Design, build, and deploy robust ETL/ELT pipelines in Databricks (PySpark, SQL, Delta Lake) for ingestion, transformation, and quality checks.
- Data Quality Capture - Implement profiling logic to capture issue-level metadata to support drill-down 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, policy enforcement, sensitive data mapping, and governance KPIs.
- Mission-Critical Integration - Automate asset onboarding, metadata enrichment, classification tagging, and lineage extraction for integration into governance reporting.
- Data Retention & Compliance - Implement logic for retention tracking and policy compliance monitoring.
- Performance Monitoring - Build pipelines to track job performance, SLA adherence, and query costs for optimization.
- Metadata Optimization - Maintain curated Delta tables for governance metrics.
- Troubleshooting - Monitor pipeline execution, optimize performance, and resolve issues quickly.
- Collaboration - Work closely with engineers, QA, and reporting teams to validate metrics and resolve data quality issues.
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