The Data Dev Lead will be responsible for leading data development activities, with a robust focus on hands‑on work using IBM DataStage. This role involves designing, developing, and optimizing data workflows, working across SQL Server, PL/SQL, and mainframe environments. The ideal candidate will ensure seamless data processing, job scheduling, and integration across multiple systems.

Key Responsibilities
- Lead and perform hands‑on development using IBM DataStage for ETL workflows.
- Develop, enhance, and maintain data integration processes across multiple environments.
- Work with SQL Server databases to write, optimize, and troubleshoot SQL queries.
- Develop PL/SQL scripts and stored procedures for data transformation and processing.
- Utilize Mainframe JCL for job management and batch processing activities.
- Coordinate job scheduling and workflow management using scheduling tools.




- Collaborate with cross‑functional teams to ensure data accuracy, performance, and reliability.
- Troubleshoot issues across ETL, database, and mainframe processes.
- Provide guidance and leadership to junior data developers as needed. Required Qualifications
- Strong hands‑on experience with IBM DataStage.
- Proficiency in SQL Server and advanced SQL query development.
- Experience with PL/SQL scripting and stored procedures.
- Knowledge of Mainframe JCL and batch job scheduling.
- Experience working with schedulers and operational job orchestration.
- Strong analytical, problem‑solving, and debugging skills.
- Excellent communication and collaboration skills.

📌 Data Dev Lead (Toronto)
🏢 Compunnel
📍 Toronto