Senior Data Engineer

Lorven Technologies; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A prominent investment management firm in Toronto is seeking a Senior Data Engineer for a long-term project. In this hybrid role, you will manage timelines for successful project completion and design software solutions through collaboration with stakeholders. Ideal candidates should have strong experience with Airflow, PySpark, and AWS, among other technologies. This organization offers a stimulating, intellectually challenging environment and opportunities for global career development.

Responsibilities

• Manage timelines and deliverables to ensure successful project completion.
• Design software solutions by collaborating with portfolio managers and traders.
• Develop solutions aligned with technology preferences for efficiency and scalability.
• Provide knowledge transfer through demos and documentation.

Skills

Airflow

PySpark

AWS (EMR, Athena, Iceberg)

Python

Hudi

Redshift

Capital Markets experience

Job description

Our client is looking for a Senior Data Engineer for a long-term project in Toronto, ON (Hybrid). Below are the detailed requirements.

Role : Senior Data Engineer

Location : Toronto, ON (Hybrid)

Project description

• Join one of the most respected and fastest-growing institutional investors in the world. Our client is a professional investment management organization that invests globally across all major asset classes, including public equity, private equity, real estate, infrastructure, and fixed-income instruments.
• The company attracts high-caliber individuals from top-tier institutions worldwide. Benefits of joining include:
• Diverse and inspiring colleagues and approachable leaders
• Stimulating work in a fast-paced, intellectually challenging environment
• Accelerated exposure and responsibility
• Global career development opportunities
• Motivation from a meaningful social purpose and unshakable principles
• A culture rooted in Integrity, Partnership, and High Performance

Responsibilities

1. Manage timelines and deliverables to ensure successful project completion.
2. Design software solutions by collaborating with portfolio managers, traders, operations staff, and peers to understand requirements.
3. Develop solutions aligned with the client's technology preferences that deliver efficiency, scalability, and support new trading activities.
4. Provide knowledge transfer through demos, walkthroughs, and documentation to team members and support staff.

Skills

• Must have experience with:
• Airflow
• PySpark
• AWS (EMR, Athena, Iceberg)
• Python
• Hudi
• Redshift
• Capital Markets experience