Senior Data Architect

2 days ago


India beBeeDataTransformation Full time ₹ 18,00,000 - ₹ 25,00,000
Job Title

We are looking for a skilled Data Transformation Specialist to join our data engineering team.

  • The ideal candidate will have 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage (preferably CP4D version).
  • Hands-on experience with AWS Glue (PySpark or Spark) and AWS Lambda for event-based processing is required.
  • Experience working with Snowflake: loading strategies, stream-task, zero-copy cloning, and performance tuning is necessary.
  • The successful candidate will be proficient in SQL, Unix scripting, and basic Python for data handling or automation.
About the Role

You will work on building scalable and efficient data pipelines using best practices for schema design, partitioning, and transformation logic.

Responsibilities
  • Design, develop, and maintain ETL pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda for ingestion from varied sources like flat files, APIs, Oracle, DB2, etc.
  • Build and optimize data flows for loading curated datasets into Snowflake.
  • Participate in code reviews, performance tuning, and defect triage sessions.
  • Work closely with data governance teams to ensure lineage, privacy tagging, and quality controls are embedded within pipelines.
  • Troubleshoot and resolve issues in QA/UAT/Production environments as needed.
  • Adhere to agile delivery practices, sprint planning, and documentation requirements.
Required Skills and Experience
  • A strong understanding of data lake/data warehouse architectures and DevOps practices is essential.
  • Familiarity with S3, version control systems (Git), and job orchestration tools is required.
  • Experience with data profiling, cleansing, and quality validation routines is necessary.
  • AWS or Snowflake certification is a plus.
Good to Have
  • Experience with Collibra, BigID, or other metadata/governance tools.
  • Exposure to Data Mesh/Data Domain models.
  • Agile/Scrum delivery and Jira/Confluence tools experience.


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