Senior DevOps Engineer with Data Engineering tools

job
  • Luxoft
Job Summary
Location
Toronto ,ON C6A
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
02 Jan 2025
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Job 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-caliber 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

Build and support CI/CD pipelines, onboard application teams to DevOps Platform

Troubleshoot issues in CI/CD processes, identify improvements

Help customer to identify the best infrastructure and tools options for particular goals

Work in close collaboration with development teams

Skills

Must have

7+ years experience as a DevOps

AWS Data Engineering Technologies (Expert Level)

Glue, EMR, Athena, AWS Lakeformation, S3

DevOps (Expert Level)

Terraform, Jenkins, GitHub Actions, AWS Code Build, Ansible, Artifactory, AWS CloudFormation

AWS Core Technologies (Expert Level)

EC2, Lambda, API Gateway, SNS, SQS

Solid troubleshooting skills

Strong communication and task management skills

Nice to have

Experience in Python / Java in an enterprise environment, covering the whole development life cycle

Data Engineering Technologies (Intermediate Level)

Spark, Apache Airflow, Apache Hudi

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