Data Engineering Transformation Specialist

2 weeks ago


Kollam, Kerala, India beBeeTeradata Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Drive innovation and enhance business processes by leveraging cutting-edge technologies.

Seek a talented Teradata Migration Specialist with strong Databricks and SQL/Python expertise to join our dynamic team.

The ideal candidate will have a strong background in SQL, Python, orchestration frameworks, and performance optimization within Databricks.

This role requires in-depth technical expertise, the ability to troubleshoot complex migration challenges, and experience collaborating with multiple stakeholders in enterprise environments.

Key Responsibilities:

  • Convert Teradata ETL workloads into Databricks SQL
  • Refactor ingestion pipelines using SQL and/or Python
  • Design and implement data validation scripts for side-by-side comparisons
  • Configure orchestration and job scheduling within the Databricks environment
  • Perform unit, integration, UAT, and performance testing for migrated code
  • Validate data consistency between Teradata and Databricks environments
  • Execute jobs in UAT/QA, analyze data discrepancies, and provide timely resolutions
  • Deploy workloads in Unity Catalog enabled workspaces and ensure governance best practices
  • Implement job monitoring using Databricks-native tools (system tables, workflows)
  • Collaborate with Databricks and customer teams for code fixes, optimizations, and best practices

Required Technical Skills:

  • Strong expertise in Teradata ETL development & migration
  • Proficiency in Azure Databricks, SQL, and Python
  • Deep understanding of orchestration, scheduling, and data validation techniques
  • Hands-on knowledge of Unity Catalog for permissions and governance
  • Solid experience in data testing: unit, integration, UAT, and performance
  • Strong troubleshooting, debugging, and optimization skills
  • Familiarity with cloud environments (Azure/AWS/GCP)

Proven Experience:

  • Migrate large-scale Teradata workloads to Databricks
  • Implement data validation frameworks and resolve data drift
  • Execute side-by-side data comparisons between legacy and modern systems
  • Apply performance tuning techniques for query and job optimization
  • Collaborate with cross-functional stakeholders in enterprise-scale projects
  • Work in retail, telecom, semiconductor, or manufacturing industry domains (preferred)


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