DataStage Developer | Python, ETL, SQL

Toronto, ON - Hybrid (4 Days WFO)

Role Descriptions

Experienced Python DataStage Developer responsible for designing, developing, and maintaining ETL/data integration solutions for banking applications. The role involves building scalable data pipelines, automating data processing, supporting regulatory and financial reporting, and ensuring data quality across enterprise systems.

Experience with IBM DataStage, Python, SQL, and banking data is essential. Enterprise profiles also emphasize ETL development, data transformation, SQL optimization, and banking domain expertise.

Key Responsibilities

- Design, develop, and support ETL workflows using IBM DataStage.
- Develop Python scripts for data ingestion, transformation, validation, and automation.
- Create and optimize SQL queries,



stored procedures, and database objects.
- Integrate data from multiple banking systems, including core banking, payments, loans, and regulatory reporting platforms.
- Perform data quality checks, reconciliation, and troubleshooting of production issues.
- Collaborate with business analysts, architects, and compliance teams to deliver data solutions.
- Support batch processing, incident management, and change management activities.
- Ensure adherence to banking security, governance, and regulatory standards.

Required Skills

- Robust experience with IBM DataStage ETL development.
- Proficiency in Pyt

📌 DataStage Developer – Python / ETL / SQL (Toronto)
🏢 Astra North Infoteck
📍 Toronto