Sr Data Engineer
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
Sr Data Engineer
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 the big financial institution 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. Client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. Client attracts and selects high-calibre individuals from top-tier institutions around the globe. 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
If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.
Responsibilities
• 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.
Skills
Must have
• 5+ years experience
• 3 yrs Python Programming
• 3 yrs big data using Hadoop
• Airflow
• PySpark
• AWS (EMR, Athena, Iceberg, E3)
• Python
• Hudi or Redshift (Hudi preferred)
• Capital Market exp
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