- 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
- 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

- Banking domain expertise

Key Responsibilities
- Design, develop, and support ETL workflows using IBM DataStage.

- Develop Python scripts for

- Data ingestion

- Transformation

- Validation

- Automation

- Create and optimize

- SQL queries

- Stored procedures

- Database objects
- Integrate data from multiple banking systems, including:

- Core banking

- Payments

- Loans

- 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

- Change management activities

- Ensure adherence to

- Banking security

- Governance

- Regulatory standards

Required Skills
- Solid experience with IBM DataStage ETL development.

- Proficiency in

- Python

- SQL

- Unix/Linux scripting

- Knowledge of

- Data Warehousing

- ETL concepts

- Data Modeling

- Experience with

- Oracle

- DB2

- Snowflake

- Or similar databases

- Understanding of

- SDLC

- Agile methodologies

- Version control tools (Git)

📌 Python DataStage Developer (Toronto)
🏢 Ju0026M Group
📍 Toronto