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Data Engineer

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Job Summary:

We are seeking a skilled data engineer to develop, optimize and maintain automated data pipelines in support of business intelligence and analytics initiatives. This role involves designing, building, and deploying robust ETL/ELT pipelines to ingest, transform, and curate governance and operational metadata from multiple sources.

Main Responsibilities:
  • Pipeline Development – Design and deploy scalable data pipelines using PySpark, SQL, and Delta Lake to extract insights from diverse data sources.
  • Data Quality Capture – Implement profiling logic to capture issue-level metadata and enable drill-down into specific records for targeted remediation.
  • Governance Metrics Automation – Develop data pipelines to generate metrics for business dashboards covering data quality, lineage, job monitoring, access permissions, query cost, usage consumption, retention lifecycle, policy enforcement, sensitive data mapping, and governance KPIs.
  • Metric Reporting – Automate asset onboarding, metadata enrichment, classification tagging, and lineage extraction for integration into reporting frameworks.
  • Data Retention Policy Enforcement – Implement logic for retention tracking and policy compliance monitoring to ensure adherence to organizational standards.
  • Query Cost Optimization – Build pipelines to track job performance, SLA adherence, and query costs for cost and performance optimization.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 4+ years of hands-on experience in data engineering with Azure Databricks and Azure Data Lake.
  • Proficiency in PySpark, SQL, and ETL/ELT pipeline design.
  • Demonstrated experience in 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.
Benefits:
  • Opportunity to work with cutting-edge technologies and innovative projects.
  • Collaborative environment with cross-functional teams.
  • Professional development opportunities and training programs.