Bsa (Data)
2 weeks ago
Role-:BSA with Data Experience
Location-Toronto, ON
Hire Type
- Full Time
Job Description-:
Skills required: Data warehousing, data analysis, ETL, SQL, spark SQL, data mapping
Pyspark and data bricks
- Experience in AML/ Banking/ Capital Market
- Experience with Agile methodology - Plan, develop, test and deploy
- Experience with SQL server management tools and writing queries, with large SQL data marts, relational database experience.
- Profile data and prepare source to target mappings, map source data to the target tables for the multi hop architecture.
- Closely working with data modelers, data engineers and architect and product owners to identify any discrepancies and get it resolved.
- Strong knowledge of data extraction, design, load, and reporting solutions, strong ability to read SQL server SSIS packages, SQL stored procedures/functions and back trace views
- Work in the team of data designer/ developer to translate user and/or systems requirements into functional technical specifications.
- Collaborate closely with Application Owners, Application Managers, and Solution Designers as the business/functional counterpart in solution identification and maintenance.
- Support testing teams in translating requirements and use cases into test conditions and expected results for product, performance, user acceptance, and operational acceptance testing; participate in the testing of developed systems/solutions.
- Act as a technical resource for business partners to ensure deliverables meet business and end-user requirements.
- Identifying the source data/source tables as per project specific use case and get that ingested into source raw zone.
- Raise Data access control requests and make source data available in analytical zone for data profiling and data analysis.
- Understanding the existing codes and data bricks workflows and leverage that for our use case.
Pay: $110,000.00-$125,000.00 per year
Schedule:
- Monday to Friday
**Experience**:
- BSA: 10 years (preferred)
- Data warehousing,: 10 years (preferred)
- data analysis: 8 years (preferred)
- ETL: 8 years (preferred)
- SQL: 10 years (preferred)
- spark: 8 years (preferred)
- data mapping: 7 years (preferred)
- Pyspark: 9 years (preferred)
- data bricks: 8 years (preferred)
- AML/ Banking/ Capital Market: 8 years (preferred)
- Agile methodology: 8 years (preferred)
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