Chief Data Architect

23 hours ago

Aligarh, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Senior Data EngineerAre you a seasoned data professional looking to drive innovation and enhance business processes with cutting-edge technologies? We are seeking a highly skilled Senior Data Engineer with hands-on experience in Teradata-to-Databricks migrations, ETL development, and large-scale data validation.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 Skills and Qualifications:
  • 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).
Benefits:
  • 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.
Proven Experience:
  • Collaborating with cross-functional stakeholders in enterprise-scale projects.

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