Senior Data Engineer

6 days ago

Delhi, Delhi, India beBeeDataGovernance Full time ₹ 30,00,000 - ₹ 40,00,000

About the Role

The ideal candidate will be a seasoned professional with 7+ years of overall experience, including 5+ years in data engineering and 2+ years in data engineering governance. They should also have at least 3 years of experience in data security.

This role is responsible for establishing and maintaining robust data engineering governance frameworks, ensuring best practices and standards are followed, and implementing advanced data security across the enterprise and self-service environments.

  • Establish, enforce, and monitor data engineering governance standards, best practices, and guidelines across enterprise and self-service environments.
  • Develop and maintain documentation for data engineering processes.
  • Define and implement data security policies and role-based access controls (RBAC/ABAC) across all data engineering processes.
  • Oversee data classification, lifecycle management, and comprehensive metadata management to ensure transparency, traceability, and compliance.
  • Implement and manage robust change control processes for all data engineering activities.
  • Monitor, maintain, and optimize data pipelines and workflows, ensuring reliability, scalability, and efficiency.
  • Continuously monitor and optimize the performance of data engineering processes and resource utilization.

Key Responsibilities:

  1. Data Engineering Governance.
  2. Data Security.
  3. Documentation and Metadata Management.
  4. Change Control Process.
  5. Performance Monitoring and Optimization.
  6. Data Pipeline Management.

Required Skills and Qualifications:

  • Databricks Lakehouse Platform: Medallion Architecture, Unity Catalog, Delta Lake & DLT Pipelines, PySpark Workbooks, Spark SQL & SQL Warehouse.
  • Programming: Python, SQL, PySpark.
  • AWS Cloud Services: IAM, S3, Lambda, EMR, Redshift, Bedrock.
  • Familiarity with DevOps and CI/CD processes.
  • Experience with any Data Security tool.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.

Preferred Qualifications:

  • Certifications in Databricks, AWS, or Data Security platforms.
  • Experience working in regulated industries (e.g., finance, healthcare, manufacturing).
  • Strong communication and documentation skills.
  • Experience with dynamic data masking, data privacy, and compliance frameworks.

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