
Data Engineer
6 days ago
This role involves building, maintaining and optimizing data pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda for ingestion from varied sources. The ideal candidate will have experience in ETL development with a focus on scalable and efficient data flows.
- Data Pipeline Development: Design, develop and maintain ETL pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda.
- Data Flow Optimization: Build and optimize data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning and transformation logic.
- Collaboration: Participate in code reviews, performance tuning and defect triage sessions.
We are looking for a talented and motivated ETL Developer to join our team. As an ETL Developer, you will work closely with architects, business analysts and data modelers to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases.
Key Responsibilities:
- Develop and maintain ETL pipelines for data ingestion from various sources.
- Optimize data flows for loading curated datasets into Snowflake.
- Collaborate with the team to ensure high-quality data delivery.
Requirements:
- 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.
Benefits:
- A competitive salary package.
- A comprehensive benefits program.
- The opportunity to work with a cutting-edge technology stack.
About Us:
We are a forward-thinking organization that is passionate about innovation and excellence. We believe in fostering a culture of collaboration, creativity and continuous learning. If you are a motivated and detail-oriented individual who is passionate about ETL development, we would love to hear from you.
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