Software Engineer Lead - Senior Software Engineer at Capgemini
Mississauga, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

07 Nov, 25

Salary

0.0

Posted On

07 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Distribution Systems, Apache Spark, Mysql, Aws, Collaboration, Interpersonal Skills

Industry

Information Technology/IT

Description

ABOUT THE JOB YOU’RE CONSIDERING

As Backend Engineer, you will work on one of the world’s largest social media platform which deals with a few petabytes of data coming to the system daily. You will contribute as part of R&D self-organized team working in a challenging, innovative environment for our client.
Investigate, create, and implement the solutions for many technical challenges using cutting edge technologies, including building/enhancing machine learning platform enabling work of software used by hundreds of millions of users.

YOUR SKILLS AND EXPERIENCE

  • University degree in Computer Related Sciences or similar
  • 5+ years of experience as backend engineer.
  • Solid Python and Java coding skills with 5+ years of experience.
  • Established relational DB systems experience (MySQL)
  • Experience with distribution systems
  • Ability to organize and document solutions
  • A passion for streamlining systems and processes to make the difficult trivial
  • Strong OOP skills
  • Effective communication (oral & written), collaboration, and interpersonal skills
  • Experience with AWS, Apache Spark and ML frameworks and libraries
Responsibilities
  • Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, and approves them with all stakeholders.
  • Ensures that assigned areas are delivered within set deadlines and required quality objectives.
  • Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Evaluating existing data systems.
  • Developing the best practices for data coding to ensure consistency within the system.
  • Updating and optimizing local and metadata models.
  • Evaluating implemented data systems for variances, discrepancies, and efficiency.
  • Troubleshooting and optimizing data systems.
  • Understand the business drivers and analytical use-cases and translate these to data products.
  • Design, implement and maintain pipelines that produce business critical data reliably and efficiently using cloud technology
  • Addresses area-level risks, provides and implements mitigation plan.
  • Reports about area readiness/quality, and raise red flags in crisis situations which are beyond his/her AOR.
  • Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
  • Suggest technical and functional improvements to add value to the product.
  • Constantly improves his/her professional level.
  • Collaborate with other teams.
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