Senior Data Platform Specialist

2 days ago

Kozhikode, Kerala, India beBeeMigration Full time ₹ 1,80,00,000 - ₹ 2,00,00,000

About us we are a leading provider of solution services in data science, big data, enterprise cloud, and automation.

We leverage cutting-edge technologies to drive innovation and enhance our business processes.

We seek an experienced teradata migration specialist with expertise in databricks, sql, and python.

The ideal candidate will have strong skills in sql, python, orchestration frameworks, and performance optimization within databricks.

This role requires technical expertise, 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).

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