Enterprise Data Governance Specialist

2 days ago

Agra, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,10,00,000
Job Title: Cloud Data Engineer

Overview

We are seeking a skilled Cloud Data Engineer to design, build, and maintain scalable data pipelines in Azure. This role focuses on developing production-ready workflows for ingestion, transformation, quality checks, lineage capture, access auditing, cost usage analysis, retention tracking, and metadata integration.

Key Responsibilities:

  1. 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.
  2. 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.
  3. 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.
  4. Microsoft Purview Integration - Automate asset onboarding, metadata enrichment, classification tagging, and lineage extraction for integration into governance reporting.
  5. Data Retention & Policy Enforcement - Implement logic for retention tracking and policy compliance monitoring (masking, RLS, exceptions).
  6. Job & Query Monitoring - Build pipelines to track job performance, SLA adherence, and query costs for cost and performance optimization.
  7. Metadata Storage & Optimization - Maintain curated Delta tables for governance metrics, structured for efficient dashboard consumption.
  8. Testing & Troubleshooting - Monitor pipeline execution, optimize performance, and resolve issues quickly.
  9. Collaboration - Work closely with the lead engineer, QA, and reporting teams to validate metrics and resolve data quality issues.
  10. Security & Compliance - Ensure all pipelines meet organizational governance, privacy, and security standards.

Requirements

  • 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.

Preferred Qualifications

  • 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.

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