Product Software Engineer - Data Engineer
CA-ON-Toronto
Applications have closed
Capgemini
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.Description
Location: Remote in Canada
Job Description:
As Senior Software 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 Data processing platform enabling work of software used by hundreds of millions of users.
Key Responsibilities:
• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders
• Developing 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.
• 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.
• Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
Required Skills:
• 5+ years’ experience working in as software engineering/developer.
• Must have expert level of experience in Python programming with strong Sql Skill (Data modeling and Data designing)
• Expert in Database fundamentals, SQL and distributed computing.
• Advanced proficiency in Complex SQL and able to to write and optimize SQL queries which will run against Snowflake or Delta tables.
• 3+ years of experience in ETL orchestration and workflow management tool Airflow.
• Experience in Spark, Snowflake & Databricks.
Nice to have:
• Experience with the Distributed data/similar ecosystem (Spark, Hive, Presto) and/or streaming technologies such as Kafka/Flink.
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:
• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief
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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Get the future you want | www.capgemini.com
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.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US 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 the US by Capgemini.
Job
: Programmer/AnalystSchedule
: Full-timePrimary Location
: CA-ON-TorontoOrganization
: ERD PPL CAN* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Databricks Engineering ETL Flink Generative AI Kafka Pipelines Python R R&D Snowflake Spark SQL Streaming
Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave
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