Data Engineer

3 days ago


Anantapur, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 80,00,000 - ₹ 1,50,00,000
Data Engineer: Automating Governance and Analytics Initiatives

We are seeking a hands-on data engineer to develop, optimize, and maintain automated data pipelines supporting data governance and analytics initiatives. This role requires expertise in designing, building, and deploying 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.

  • Pipeline Development

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.

Benefits:

  • Opportunity to work with cutting-edge technologies and architectures.
  • Chance to collaborate with experienced professionals in the field.
  • Professional growth and development opportunities.

Requirements:

  • Strong understanding of data engineering principles and practices.
  • Proficiency in designing, building, and deploying ETL/ELT pipelines in Databricks.
  • Experience with data governance and analytics initiatives.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.

Please submit your application, including your resume and a cover letter outlining your experience and qualifications.


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