ETL Development Position

1 day ago

Mumbai, Maharashtra, India beBeeDevelopment Full time ₹ 12,50,000 - ₹ 17,50,000

Job Title: ETL Specialist with Scalable Data Pipelines

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Experience: 5–7 Years

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Location: Remote

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Job Type: Full-time

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About the Role:

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We seek a skilled and motivated ETL developer to join our data engineering team.

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As an ETL specialist, you will work on building efficient data pipelines using IBM DataStage (on Cloud Pak for Data), AWS Glue, and Snowflake.

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Key Responsibilities:

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  • 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.">
  • 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.">
  • 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.">
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Required Skills and Experience:

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  • 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.">
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Good to Have:

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  • 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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