Data & AI Engineering - Data Engineer

2 weeks ago

Old Toronto, Canada Capgemini Full time

Data & AI Engineering - Data Engineer-076290

Job Description:

Job Location: Canada (Hybrid) the closest Capgemini office.

As Sr Data Engineer, you will work on one of the world's largest social media platforms, which deals with a few petabytes of data coming to the system daily. You will chip in as part of an R&D self-organized team working in a complicated, innovative environment for our client.

Investigate, build, and implement the solutions for many technical challenges using groundbreaking technologies, including building/improving Data processing platform enabling work of software used by hundreds of millions of users.

Key Responsibilities:
  1. Collaborate with multi-functional partners to collect data requirements.
  2. Develop data pipelines using Python to import data into Snowflake.
  3. Ensure that assigned area/areas are delivered within set deadlines and required quality objectives.
  4. Provide estimations, agree on task duration with the manager, and contribute to project planning of assigned area.
  5. Analyze scope of alternative solutions and make decisions about area implementation based on experience and technical expertise.
  6. Report about area readiness/quality, and raise red flags in crisis situations which are beyond their AOR.
  7. Resolve crisis situations within their AOR.
  8. Initiate and conduct code reviews, build code standards, conventions, and guidelines.
  9. Suggest technical and functional improvements to make valuable contributions to the product.
  10. Constantly improve their professional level.
Required Skills:
  1. University degree in Computer Related Sciences or similar.
  2. Demonstrated ability as Data Engineer in creating data pipelines for a cloud data warehouse.
  3. Strong Python and SQL skills.
  4. Experience building data pipelines in Python.
  5. Experience with extracting data from REST APIs and ingesting it to a cloud data warehouse.
  6. Experience working with S3 buckets and writing DAGs on Airflow.
  7. Rigor in high code quality, automated testing, and other engineering standard processes.
  8. Effective communication, collaboration, and social skills.
  9. Result-oriented approach.
  10. Good English (oral & written) and communication skills in general.
  11. Experience in AWS.
Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  1. Collaborating with teams of creative, fun, and driven colleagues.
  2. Flexible work options enabling time and location-based flexibility.
  3. Company-provided home office equipment.
  4. Virtual collaboration and productivity tools to enable hybrid teams.
  5. Comprehensive benefits program (Health, Welfare, Retirement, and Paid time off).

Other perks and wellness benefits include discount programs, gym/studio access, Paid Parental Leave, coaching, baby welcome gift, family care/illness days, Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries.

With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.

The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities, and Qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.

Job: Programmer/Analyst

Schedule: Full-time

Primary Location: CA-ON-Toronto

Organization: ERD PPL CAN

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