Sr. Bus Systems Analyst - 56374
S.i. Systèmes
Toronto, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
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Emploi Contrat
- Publié le 29 septembre 2025
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
Duration: 6 months, possibility to extend
Location: Hybrid, 4x a week, Toronto, ON
Scope of Project:
Project 1: Changing processes and creating adjustment framework for treasury feed’s (accepting data) (Sept start date)
Project 2: Transformation and integration of Canadian feeds for treasury (Oct start date)
Team Size/Culture: 10+ people
Selling Points of Position (CVP): exposure to capital markets, treasury and balance sheet management of the bank. Tech stacks like java, Hadoop, azure cloud.
SUMMARY OF DAY-TO-DAY RESPONSIBILITIES:
• Analyze, document and validate business rules requirements from business users.
• As Spark SQL is used as a programming language for the business rules, a successful candidate is required to be able to write, test Spark SQL statements to translate the business requirements into the programming code.
• Optimize performance and tune Spark SQL statements
• Use Visual Studio (SQL Integration Services) to analyze SSIS packages
• Analyze multiple system builds by completing and updating project requirements documentation; understanding project scope; determining project priorities; ensuring efficient and on-time delivery of project tasks and milestones; following proper escalation paths.
• Collaborate closely with the technology team to implement the requirements, provide necessary guidance to testers during QA process
• Assess business process and system inefficiencies
• Ability to analyze and synthesize business requirements, including recognizing patterns and conceptualizing processes
• Participate in standup and planning meeting as part of the Agile methodology framework
MUST-HAVE Hard Skills:
1.) 8+ years of experience working on large scale projects as well as handling day-to-day operational requests from the business
2.) 4+ years of experience with data analysis
3.) Familiarity with the general concepts of optimization and performance tuning of SQL statements.
4.) Familiarity with RDBMS (Oracle, SQL Server)
NICE-TO-HAVE
1.) Experience in financial services industry, specifically in Capital Markets and Treasury
2.) Experience with Big Data and NoSQL databases (Hadoop/HBase/Spark) and Spark SQL is a bonus
Exigences
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