Analysis & Consulting - Data Engineer
Nexus Systems Group Inc.
Toronto
On-site
CAD 80,000 - 100,000
Full time
30+ days ago
Job summary
A leading data solutions provider in Toronto is seeking a skilled professional to manage database governance and build data pipelines. The ideal candidate has over 4 years of experience with SQL, Python, and data cloud platforms like Snowflake, AWS, or Azure. Strong communication skills are essential for explaining technical concepts to non-technical stakeholders. This role offers a collaborative environment with opportunities for professional growth.
Qualifications
- Experience in building solutions in data cloud platforms.
- Knowledge of SQL, Python, R, and GIT is essential.
- Proficient in data documentation and version control.
Responsibilities
- Database governance and maintenance.
- Building data pipelines across the client's data ecosystem.
- Communicating technical concepts in non-technical terms.
Skills
SQL
Python
R
GIT
Data-driven decision-making
Education
Relevant experience and education (4+ yrs)
Tools
Role Responsibilities
- 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.