Senior Data Engineering Specialist

17 hours ago

Nashik, Maharashtra, India beBeeEtlDeveloper Full time ₹ 15,00,000 - ₹ 20,00,000
Job Description:

We are seeking an experienced and skilled ETL Developer to join our data engineering team. As a key member of the team, you will be responsible for designing, developing, and maintaining scalable and efficient data pipelines using IBM Data Stage (on Cloud Pak for Data), AWS Glue, and Snowflake.

You will work closely with data governance teams to ensure lineage, privacy tagging, and quality controls are embedded within pipelines. Additionally, you will participate in code reviews, performance tuning, and defect triage sessions.

Key Responsibilities:
  1. Design and develop ETL pipelines using IBM Data Stage (CP4 D) and AWS Glue/Lambda for ingestion from varied sources like flat files, APIs, Oracle, DB2, etc.
  2. Build and optimize data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning, and transformation logic.
  3. Participate in code reviews, performance tuning, and defect triage sessions.
  4. Work closely with data governance teams to ensure lineage, privacy tagging, and quality controls are embedded within pipelines.
  5. Contribute to CI/CD integration of ETL components using Git, Jenkins, and parameterized job configurations.
  6. Troubleshoot and resolve issues in QA/UAT/Production environments as needed.
Required Skills and Qualifications:
  • 4+ years of experience in ETL development with at least 1–2 years in IBM Data Stage (preferably CP4 D version).
  • Hands-on experience with AWS Glue (Py Spark 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 Dev Ops practices.
Benefits:

This role offers a unique opportunity to work with cutting-edge technologies and collaborate with a talented team of professionals. If you are passionate about data engineering and possess the required skills and experience, we encourage you to apply.

Good to Have:
  • Experience with Collibra, Big ID, 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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