Sr Data Engineer
4 weeks ago
This is with a global IT services firm for a leading investment/wealth management services firm.
Client Location is downtown Toronto, Ont.
Hybrid - In Office 3-4 days per week.
Contract - 6 months, possible renewal.
Join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds of big financial institutions to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure, and fixed-income instruments, and currently has offices in Toronto, UK, EU, USA, Asia, and South America.
If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity to join our team and look forward to:
- Diverse and inspiring colleagues and approachable leaders
- Stimulating work in a fast-paced, intellectually challenging environment
- Accelerated exposure and responsibility
- Global career development opportunities
- Being motivated every day by important social purpose and unshakable principles
- A deeply rooted culture of Integrity, Partnership, and High Performance
- Manage timelines/deliverables within the team towards the successful delivery of projects.
- Design software solutions by interacting with portfolio managers, traders, operations staff, and peers to understand requirements.
- Develop solutions that are in line with the client's technology biases, deliver efficiency and scalability, and enable new trading activities.
- Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.
- 5+ years experience
- 3 years Python Programming
- 3 years big data using Hadoop
- Airflow
- PySpark
- AWS (EMR, Athena, Iceberg, E3)
- Python
- Hudi or Redshift (Hudi preferred)
- Capital Market experience
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