Data Engineering Governance Specialist

7 days ago

Hyderabad, Telangana, India beBeeDataEngineering Full time US$ 12,00,000 - US$ 18,49,600

We are seeking a seasoned professional to fill the role of Data Engineering Governance Specialist. This position will be instrumental in 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.

Key Responsibilities:
  • 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.
  • Promote a culture of data engineering governance, data security awareness, and operational excellence within the team and across the organization.
Required Skills and Qualifications:
  • Databricks Lakehouse Platform:
    • Medallion Architecture
    • Unity Catalog (data governance, lineage)
    • Delta Lake & DLT Pipelines
    • PySpark Workbooks
    • Spark SQL & SQL Warehouse
  • Programming: Python, SQL, PySpark
  • AWS Cloud Services: IAM, S3, Lambda, EMR, Redshift, Bedrock
  • Other:
    • Familiarity with DevOps and CI/CD processes
    • Experience with any Data Security tool
Benefits:

- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field (Master's preferred).

- 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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