Talent.com
Distribution Data Engineer

Distribution Data Engineer

Intelliswift - An LTTS CompanyToronto, ON, Canada
4 days ago
Salary
CA$50.34 hourly
Job type
  • Temporary
Job description

Job Title : Distribution Data Engineer

Location : Toronto, ON Hybrid (2x per week in office, Tues / Thurs)

Duration : 12 months

Contract Type : T4 only

Pay Rate : CA$50.34 / Hour

Role Mandate :

  • The ideal candidate will have knowledge of current data technology and data engineering practices.
  • This role will work with a team of data engineers to build and automate databases for asset management data, including investment, market, and sales data.
  • Technical knowledge on database structure, maintenance, pipelines, and automation is essential.
  • This role will also be accountable for database migration to upgraded technology and working with broader technology teams to access and automate new datasets.
  • The ideal candidate will be collaborative and sociable and have stakeholder management skills.
  • They will also work with data scientists and analysts to create and automate datasets and models for analytics.

Role Responsibilities Include (but are not limited to) :

  • Database governance and maintenance, including schema structure, table creation, and ensuring database best practices and naming conventions.
  • Building data pipelines to source across the Client’s data ecosystem.
  • Working in different data platforms, including on-premises and cloud-based infrastructures.
  • Communicating technical concepts in on-technical terms.
  • Fostering strong internal and external networks and works across multiple teams to achieve business objectives.
  • Collaborating with other team members to deliver analytics solutions.
  • Collaborating with broader technology and cybersecurity teams to source data and keep in compliance with data security guidelines.
  • Autonomously running data tests and identifying solutions. Escalating solutions to leadership as needed for approvals.
  • Broader work or accountabilities may be assigned as needed.

    • Must-Have Skills :

  • 4+ yrs of relevant experience and education
  • SQL / Python / R / GIT experience
  • Knowledge and experience in building solutions in data cloud platforms, including Snowflake, AWS, and / or Azure is essential.
  • Experience in building and automating datasets and reports.
  • Experience in proper data documentation and version control is essential.
  • Experience in scheduling and automating advanced analytics solutions (e.g. machine-learning or generative AI) is strongly preferred.
  • Proficient in data-driven decision-making and using insights to guide strategic actions.
  • Ideal candidates will be personable with strong written / verbal communication skills in addition to technical skills.
  • Investment industry knowledge is an asset, including basic knowledge of sales and portfolio management.
  • Previous banking experience a nice to have.
  • Previous experience with Vermillion an asset.