What are the responsibilities and job description for the Distribution Data Engineer position at Intelliswift Software?
Job ID : 25-07627
Job Title : Distribution Data Engineer
Location : Toronto, ON M5X 1A1
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.
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