Product Owner, Data engineering, big data

4 weeks ago

Toronto, Canada Finance Professionals Inc. Full time
Job Description Location Address: Downtown, Toronto – hybrid – onsite 2-3/week Required within GTA – Yes Contract Duration: 6 months Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week

Typical Day in Role: • Support the definition of the International Wealth Management data hub strategy and roadmap to drive specific operational data capabilities. • Work collectively with the Business Platforms and Experience team to articulate business requirements into system requirements for new enhancements or projects. • Responsible and accountable for the business requirements/specifications to be complete, correct, consistent, concise, and achievable. • Collaborate with head office and in-country business partners to Document, analyze, research, and define user and system requirements and features relating to strategic data projects/initiatives. Develop and deliver Business Requirements Documents, source-to-target data mapping, data specifications, User stories, as required. • Document data transformation and cleansing rules for data migration. Previous expertise with Data warehousing projects. • Provide expertise on systems gap analysis and potential risks/issues on projects, enhancements, and initiatives. • Acts as a liaison between business and IT to provide technical solutions to meet user needs. Present recommendations with technology teams, collaborating on system design, and understanding process, database structures, and Data Model. • Responsible for reviewing and analyzing end-to-end testing results for data projects. • Manage communications and status reporting of ongoing initiatives, including summarizing project risks and options and facilitating prompt decisions when needed. • Provide expertise on relational and dimensional data modelling. • Provide the team expertise on data models such as star and snowflake schemas. • Proficiency in SQL is a must have.

Candidate Requirements/Must Have Skills: • 10+ years of experience in big data analysis, data engineering, or data architecture field • 3-5 years in a managerial or leadership role - Experience in leading and coaching teams, with track record of attracting and developing talent. • 8-10 years in experience in relational databases and SQL; ability to run complex queries independently. • Hands on experience in big data tools and technologies, as well as data visualization and reporting tools such as PowerBI. • Strong knowledge of data governance, data quality, and data security best practices. • Experience in working with cloud-based data platforms, preferably Google Cloud Platform. • Proven ability to translate business requirements into technical specifications and deliver working results.

Soft Skills Required: • Critical thinking skills: using logic and reasoning to evaluate alternative solutions, summarize conclusions and approaches to mitigate risks. Excellent analytical, problem-solving, and communication skills. • Ability to develop strong working relationships with business and technology partners globally.

Nice-To-Have Skills: • Full proficiency in Spanish, nice to have, an asset. • Relevant working experience in the financial sector, Wealth Management, or capital markets experience, in data projects, an asset. • Portfolio link if possible

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