Senior Data Engineering Professional

2 days ago


Solapur, Maharashtra, India beBeeDataEngineering Full time ₹ 18,00,000 - ₹ 25,00,000
Job Description

We are seeking a highly skilled Data Engineering Lead to join our team.

The ideal candidate will have expertise in IBM DataStage and experience with designing, developing, and maintaining scalable and efficient data pipelines using various tools.

Key Responsibilities:

  • Design and develop ETL pipelines using IBM DataStage and AWS Glue/Lambda for ingestion from varied sources.
  • Build and optimize data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning, and transformation logic.
  • Collaborate with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases.
  • 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.

Required Skills and Qualifications

  • 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage.
  • 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.


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