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


Start Date

Immediate

Expiry Date

22 Nov, 25

Salary

0.0

Posted On

23 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

JOB DESCRIPTION

  • Develop and maintain backend systems using Python, PySpark ensuring high performance, scalability, and reliability
  • Participate in the design and implementation of data engineering and ETL pipelines using PySpark
  • Collaborate with cross-functional teams to identify and prioritize project requirements
  • Mentor and guide engineers, providing technical guidance and code reviews
  • Stay up-to-date with the latest technologies and frameworks, and apply this knowledge to improve existing systems and processes
  • Lead the technical direction of the team, including architecture, design, and implementation of software systems
  • Collaborate with product owners to define and prioritize requirements
  • Develop and maintain technical documentation, including architecture diagrams, and technical specifications
  • Participate in code reviews, ensuring high-quality code and adherence to coding standards
  • Collaborate with DevOps and Operations teams to ensure smooth deployment and operation of applications
  • Expert in DevOps practices and tools for CI/CD pipelines.
  • Willingness to learn new technologies and adapt to new challenges
  • Proven experience in leading technical teams, including technical guidance, mentoring, and coaching
  • Strong technical leadership skills, including the ability to make technical decisions, prioritize tasks, and manage technical resources
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Ability to drive technical innovation, including researching new technologies, evaluating technical options, and recommending technical solutions
  • Strong problem-solving skills, with the ability to debug complex issues, optimize system performance, and ensure high-quality software delivery
  • Experience with Agile development methodologies, including Scrum or Kanban, and the ability to apply these principles to lead the team
  • Experience with cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Experience with PySpark for Data Engineering/ETL pipelines
  • Familiarity with containerization using Docker and orchestration using Kubernetes
Responsibilities

Please refer the Job description for details

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