
Data Pipeline Engineer
1 day ago
As a skilled ETL Developer, you will play a crucial role in designing and implementing efficient data pipelines using IBM DataStage and AWS Glue/Lambda.
Key responsibilities include:
- Designing and developing ETL pipelines for ingesting data from various sources like flat files, APIs, Oracle, and DB2.
- Building and optimizing data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning, and transformation logic.
- Participating in code reviews, performance tuning, and defect triage sessions to ensure high-quality deliverables.
- Collaborating with data governance teams to embed lineage, privacy tagging, and quality controls within pipelines.
You should have at least 4 years of experience in ETL development with hands-on experience in IBM DataStage (CP4D version) and AWS Glue (PySpark or Spark). Additionally, proficiency in SQL, Unix scripting, and basic Python is necessary. Familiarity with S3, version control systems (Git), and job orchestration tools is also required.
ExperienceExperience working with Snowflake, including loading strategies, stream-task, zero-copy cloning, and performance tuning, is essential. Proficiency in data profiling, cleansing, and quality validation routines is also necessary.
Education and CertificationsA degree in Computer Science or related field and relevant certifications (e.g., AWS or Snowflake) are highly valued.
Additional InformationThis position requires strong communication and teamwork skills. Agile delivery practices, sprint planning, and documentation requirements are also essential.
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