Job Description Data

Stage Developer | Python, ETL, SQL Toronto, ON - Hybrid (4 Days WFO) Role Descriptions Experienced Python Data

Stage 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 Data

Stage, 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 Data

Stage. • 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 • Solid experience with IBM Data

Stage ETL development. • Proficiency in Pyt Requirements Java

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