Big Data Engineer

7 days ago

Toronto, Ontario, Canada Delpath Full time

Location Address:
Downtown Toronto – hybrid – onsite 2-3/week Required within GTA – Yes
Contract Duration: 6 months

Possibility of extension:
Yes
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.
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
Best VS

Average Candidate:
The ideal candidate would have previous Scotiabank experience or wealth management initiatives experience. Has led/managed a team of Data analysts / Data engineers in his recent position.

Candidate Review &
Interview Selection:
1st – HM – mins – MS Teams Video – experience on the resume
2nd – Director +VP – 30 – 45 mins – MS Teams Video

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