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Senior Data Engineer

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Tiruppur, Tamil Nadu, India beBeeetl Full time ₹ 1,93,77,296 - ₹ 2,13,95,228
About the Role

We are seeking a skilled ETL Developer to join our data engineering team. The successful candidate will work on building scalable and efficient data pipelines using IBM DataStage (on Cloud Pak for Data), AWS Glue, and Snowflake.

The role requires collaboration with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases.

  • 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, leveraging best practices for schema design, partitioning, and transformation logic.
  • 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.
  • Contribute to CI/CD integration of ETL components using Git, Jenkins, and parameterized job configurations.
  • Troubleshoot and resolve issues in QA/UAT/Production environments as needed.
  • Adhere to agile delivery practices, sprint planning, and documentation requirements.
Key Responsibilities
  1. Develop high-quality ETL solutions using DataStage and AWS Glue.
  2. Maintain existing ETL pipelines, ensuring data accuracy and timeliness.
  3. Collaborate with cross-functional teams to deliver projects on time and within budget.
  4. Stay up-to-date with industry trends and best practices in data engineering.
  5. Communicate effectively with stakeholders at all levels.
Requirements
  • 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.
  • Experience working with Snowflake: loading strategies, stream-task, zero-copy cloning, and performance tuning.
  • Proficiency in SQL, Unix scripting, and basic Python for data handling or automation.
  • Familiarity with S3, version control systems (Git), and job orchestration tools.
  • Experience with data profiling, cleansing, and quality validation routines.
  • Understanding of data lake/data warehouse architectures and DevOps practices.
Bonus Skills
  • Experience with Collibra, BigID, or other metadata/governance tools.
  • Exposure to Data Mesh/Data Domain models.
  • Experience with agile/Scrum delivery and Jira/Confluence tools.
  • AWS or Snowflake certification is a plus.