Senior Data Engineer- Toronto, ON (Onsite) - Looking Canada Region Candidates Only

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Nobl Q, LLC., is seeking the following. Apply via Dice today! Senior Data Engineer Location - Toronto, ON (4 DAYS IN THE OFFICE ARE MANDATORY!) Contract 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. 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. Important: This role requires 3 days of on-site presence per week 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.