Join a prominent team as an ETL Developer, focusing on enterprise data integration solutions in a hybrid setting in Toronto. This role emphasizes the design and optimization of ETL pipelines to ensure reliability and performance. With 6+ years of experience required, this role involves using your skills with DataStage, Python, SQL/HQL, and UNIX to tackle data quality and support significant business initiatives.

You will be instrumental in designing source-to-target mappings and enhancing existing data feeds. Your contributions will also include developing batch processing frameworks and maintaining data pipelines. Key Responsibilities:
Design and enhance ETL data pipelines using key technologies
Perform data analysis and source-to-target mapping




Support onboarding of current data sources and feed enhancements
Develop and maintain batch processing frameworks
Implement data cleansing and validation logic Requirements:
Minimum of 6 years of ETL experience
Solid background in DataStage, Python, SQL/HQL, and UNIX
Experience in transformation logic design and data analysis
Skills in troubleshooting and defect resolution
Familiarity with Anti-Money Laundering (AML) projects Leverage your expertise in ETL development to make a lasting impact in our dynamic team.

📌 Hybrid Etl Developer Role Toronto (Canada)
🏢 United States Digital Space
📍 Canada