Data Migration Specialist

2 days ago

Kanpur, Uttar Pradesh, India beBeeMigration Full time ₹ 90,00,000 - ₹ 1,20,00,000

Job Title: Senior Data Engineer

We are seeking a talented and experienced professional to drive innovation and enhance our business processes by migrating large-scale data workloads from Teradata to Databricks.

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 in:

  • Migrating large-scale Teradata workloads to Databricks.
  • Implementing data validation frameworks and resolving data drift.
  • Executing side-by-side data comparisons between legacy and modern systems.
  • Applying performance tuning techniques for query and job optimization.
  • Collaborating with cross-functional stakeholders in enterprise-scale projects.
  • Working in retail, telecom, semiconductor, or manufacturing industry domains (preferred)

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