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Data Pipeline Specialist

2 weeks ago

India beBeeDeveloper Full time US$ 1,04,000 - US$ 1,30,878
ETL Data Engineer - Scalable Pipeline Developer

We are seeking an experienced ETL data engineer to build and maintain scalable data pipelines using IBM DataStage and AWS Glue. As a key member of our data engineering team, you will work collaboratively with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases.

Responsibilities:

  • Design and develop ETL pipelines for ingestion from varied sources such as flat files, APIs, Oracle, and DB2.
  • Builed and optimize data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning, and transformation logic.
  • Collaborate 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.

Requirements:

  • 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.
  • Understanding of data lake/data warehouse architectures and DevOps practices.