Data Engineer

5 days ago


Ghaziabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 25,00,000
ETL Developer Role

We are seeking an experienced ETL Developer to join our data engineering team.

This role involves designing, developing, and maintaining scalable and efficient data pipelines using IBM DataStage (on Cloud Pak for Data), AWS Glue, and Snowflake.

About the Role

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 also required.

  • Data Ingestion: Design and develop ETL pipelines using IBM DataStage and AWS Glue/Lambda for ingestion from varied sources like flat files, APIs, Oracle, DB2, etc.
  • Data Loading: Build and optimize data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning, and transformation logic.
  • Pipeline Management: Participate in code reviews, performance tuning, and defect triage sessions.
  • Data Governance: Work closely with data governance teams to ensure lineage, privacy tagging, and quality controls are embedded within pipelines.
Key Responsibilities
  • Development: Develop and maintain ETL pipelines using IBM DataStage and AWS Glue/Lambda.
  • Troubleshooting: Troubleshoot and resolve issues in QA/UAT/Production environments as needed.
  • Collaboration: Collaborate with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets.
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

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