Pay Range: CAD 55-60/hr
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 ResponsibilitiesDesign| 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 SkillsStrong experience with IBM DataStage ETL development.Proficiency in Python| SQL| and Unix/Linux scripting.Knowledge of Data Warehousing| ETL concepts| and Data Modeling.Experience with Oracle| DB2| Snowflake| or similar databases.Understanding of SDLC| Agile methodologies| and version control tools (Git).
