Data Engineer at Luxoft
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

15 Nov, 25

Salary

75.0

Posted On

16 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Amazon S3, Python, Athena, Amazon

Industry

Information Technology/IT

Description

PROJECT DESCRIPTION

Applying to the position, you may 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 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.

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.
We are hiring contractor and ready to offer salary within range of 75 - 85 USD Gross Per Hour in NYC area.

SKILLS

Must have
Amazon S3, AWS Lake Formation, Glue Catalog, Amazon
EMR/EC2/Serverless, Spark, Athena
Python
Amazon NeptuneDB
Amazon EventBridge, SNS, SQS, API Gateway, AWS Lambda
Terraform, AWS CloudFormation, IAM
Candidates should have more than 10 years of relevant experience.
Nice to have

Responsibilities

Required daily participation in highly loaded data transformations.
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 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.

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