ETL DataStage Developer
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
Role: ETL DataStage Developer
Location: Toronto ON - Hybrid; 2-3 days a week on-site
Location: Toronto ON - Hybrid; 2-3 days a week on-site
The ETL Developer will support the design development enhancement implementation and production support of AML data solutions within the Enterprise Data Lake (EDL). The role focuses on building and maintaining scalable data pipelines supporting AML platforms including Name Screening Customer Risk Rating (CRR) Transaction Monitoring (TM) and FINTRAC Regulatory Reporting.
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 ETL specifications and operational procedures.
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.
Preferred Qualifications
Banking AML Financial Crime or Regulatory Reporting domain experience.
Experience supporting Name Screening CRR Transaction Monitoring or FINTRAC reporting platforms.
Familiarity with Hadoop/Hive ecosystems.
Knowledge of Data Governance and Regulatory Compliance requirements.
Experience in Agile delivery environments.
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