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A leading Canadian bank is looking for a skilled Data Management Specialist in Toronto. You will contribute to successful IT operations by designing and implementing data management solutions, defining standards, and evaluating platforms. The ideal candidate has over 5 years of experience, proficiency in SQL, Oracle, Python, and data warehouse solutions. You'll enjoy a flexible workspace and be part of a diverse team that values inclusivity and success. Join us in redefining banking in Canada.
Requisition ID: 245048
Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.
Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape!
What you will be doing:
Contributes to the overall success of the Information Technology (IT) in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensure all activities conducted are following governing regulations, internal policies and procedures.
Is this role right for you? In this role, you will:
Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have
What's in it for you?
At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.
Job Segment: Data Architect, Architecture, Database, Data Management, Data Warehouse, Data, Engineering, Technology