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1 day ago
We are seeking a skilled Data Transformation Specialist to join our data engineering team. The ideal candidate will have experience in designing, developing, and maintaining ETL pipelines using IBM DataStage, AWS Glue, and Snowflake.
Main Responsibilities:- Design and develop efficient ETL pipelines using IBM DataStage and AWS Glue for data ingestion from various sources such as flat files, APIs, Oracle, and DB2.
- Bulk up data flows for loading curated datasets into Snowflake, employing best practices for schema design, partitioning, and transformation logic.
- Participate in code reviews, performance tuning, and issue resolution sessions.
- Collaborate with data governance teams to embed lineage, privacy tagging, and quality controls within pipelines.
- Contribute to continuous integration and delivery (CI/CD) of ETL components using version control systems and parameterized job configurations.
- Troubleshoot and resolve issues in production environments as needed.
- 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage (preferably Cloud Pak for Data version).
- Hands-on experience with AWS Glue (PySpark or Spark) and AWS Lambda for event-driven processing.
- Proficiency in SQL, Unix scripting, and basic Python for data handling or automation.
- Familiarity with S3, version control systems, and job orchestration tools.
- Experience with data profiling, cleansing, and quality validation routines.
This is an excellent opportunity to work with cutting-edge technologies and contribute to the development of robust ETL pipelines. As a Data Transformation Specialist, you will be working closely with our data engineering team to design, build, and maintain scalable data solutions.
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