ETL DataStage Developer
Long Term Contract
Toronto ON- Hybrid
Key Responsibilities
- Design, develop, enhance, and maintain ETL/Data Integration solutions using DataStage, Python, SQL/HQL, and UNIX.
- Develop and support AML data pipelines within the Enterprise Data Lake environment.
- Implement source-to-target mappings and complex transformation logic.
- Onboard new data sources and enhance existing AML data feeds.
- Build and maintain batch processing frameworks, workflows, and scheduling processes.
- Develop data cleansing, standardization, reconciliation, and validation routines.
- Support AML initiatives related to:
- ◦ Name Screening (ACRM)◦ Customer Risk Rating (CRR)◦ Transaction Monitoring (TM)◦ FINTRAC Reporting
- Enhance data quality controls, monitoring, and lineage solutions.
- Perform code remediation, performance tuning, optimization, and software currency upgrades.
- Execute unit testing, defect resolution, and production deployment activities.
- Investigate and resolve production incidents and data issues.
- Perform root cause analysis and implement permanent fixes.
- Support release activities, post-implementation validation, and on-call production support when required.
- Maintain technical documentation
Required Skills & Experience
- 6+ years of ETL/Data Engineering experience.
- Strong hands-on experience with:
- ◦ IBM DataStage◦ Python◦ SQL/HQL◦ UNIX Shell Scripting
- Experience working with Enterprise Data Warehouse/Data Lake platforms.
- Strong data analysis and troubleshooting skills.
- Experience developing complex ETL jobs, data transformations, and data integration solutions.
- Knowledge of data quality, reconciliation, and data lineage concepts.
- Experience with SDLC, testing, deployment, and production support processes.
- Ability to analyze and optimize ETL performance and data processing workflows.
Key Technologies:
IBM DataStage | Python | SQL/HQL | UNIX Shell Scripting | Hive | Enterprise Data Lake (EDL) | Data Quality | Data Lineage | AML | KYC | FINTRAC | Transaction Monitoring | Customer Risk
Pay: $45.00-$50.00 per hour
Work Location: Hybrid remote in Toronto, ON (Toronto District)