
ETL Specialist with Data Pipelines Expertise
4 days ago
About the Role
We are seeking an experienced ETL Specialist to join our data engineering team.
You will be responsible for designing, developing and maintaining scalable and efficient data pipelines using IBM DataStage (on Cloud Pak for Data), AWS Glue, and Snowflake.
Key Responsibilities:
- Design and develop ETL pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda for ingestion from various sources such as flat files, APIs, Oracle, DB2, etc.
- Built and optimized data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning and transformation logic.
- Participated in code reviews, performance tuning and defect triage sessions.
- Worked closely with data governance teams to ensure lineage, privacy tagging and quality controls were embedded within pipelines.
- Contributed to CI/CD integration of ETL components using Git, Jenkins and parameterized job configurations.
- Troubleshot and resolved issues in QA/UAT/Production environments as needed.
- Adhered to agile delivery practices, sprint planning and documentation requirements.
Required Skills and Experience:
- At least 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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