Highly Skilled Data Professional Wanted

2 weeks ago


Ajmer, Rajasthan, India beBeeDataEngineer Full time ₹ 16,00,000 - ₹ 23,50,000
We are seeking a highly skilled Data Engineering professional to join our team as a Senior Data Engineer.The ideal candidate will have expertise in Teradata-to-Databricks migrations, ETL development, and large-scale data validation. The role involves converting Teradata ETL workloads into Databricks SQL, refactoring ingestion pipelines using SQL and/or Python, and designing and implementing data validation scripts for side-by-side comparisons.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)
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:
  • 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


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