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Bachelor's or Master's degree in Computer Science, Information Technology, or a related engineering discipline. 8-10 years of software development experience.
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ETL DataStage Developer
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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:

Pay: $45.00-$50.00 per hour

Work Location: Hybrid remote in Toronto, ON (Toronto District)