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Data Analyst
2 months ago
JOB DESCRIPTION
Location: Hybrid (Downtown, Toronto)
Duration: 4-6 weeks
Our client, a leading financial institution in Downtown Toronto, is looking for a Data Analyst to build and maintain ETL scripts to support data quality processes. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.
Typical Day in Role:- Build and maintain ETL scripts to support data quality processes.
- Develop data quality rules to support GBM business areas domain(s) as it aligns with requirements.
- Support existing data quality processes.
- Design and build scalable DataStage Solutions.
- Identify bottlenecks in Data Processing Pipeline.
- Strong Knowledge of IBM Infosphere DataStage with at least 4 years of hands-on experience.
- Previous experience with design and building scalable DataStage Solutions.
- Previous experience monitoring DataStage Jobs and identifying bottlenecks in Data Processing Pipeline.
- Prior experience in working with different data formats – Flat Files, DB, XMLs, JSON, Python, Hive, etc.
- Proficient in SQL and Unix commands, scripts.
- Previous financial institution experience.
- Knowledge of Data Modeling, Database Design, and Data Warehouse Ecosystem.
- Prior testing and troubleshooting experience with problems in system designs and processes.
- Demonstrated ability to be flexible/adaptable in exercising judgment in a changing environment and to manage competing priorities.
- Great communication skills are required, as they will regularly be communicating internally and externally.
- Bachelor's degree in a related field required.
Finance professional is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.
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