Company: Capgemini
Location: Toronto, ON
Expected salary:
Job date: Fri, 01 Aug 2025 00:16:37 GMT
Job description: About the job you’re consideringName of the position: Data Engineer
Reports to: Team Lead/Delivery Manager
Department/Project: EngineeringPURPOSE OF THE JOB
As a Senior Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals. MAIN TASKS AND RESPONSIBILITIES
- Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
- Ensures that assigned area/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.
- Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
- Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
- Addresses area-level risks, provides and implements mitigation plan.
- Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
- Responsible for resolving crisis situations within his/her AOR.
- Initiates and conducts code reviews, creates code standards, conventions and guidelines.
- Suggests technical and functional improvements to add value to the product;
- Constantly improves his/her professional level.
- Collaborates with other teams.
REQUIRED EDUCATION AND EXPERIENCE
Must have:
- University degree in Computer Related Sciences or similar
- 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.
- Proficiency in Python programming languages.
- 3+ years of experience in ETL orchestration and workflow management tool Airflow.
- Experience in Spark, Snowflake & Databricks.
- Excellent communication skills.
Nice to have:
- Experience with the Distributed data/similar ecosystem (Spark, Hive, Presto) and/or streaming technologies such as Kafka/Flink.
Your role
- Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
- Ensures that assigned area/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.
- Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
- Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
- Addresses area-level risks, provides and implements mitigation plan.
- Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
- Responsible for resolving crisis situations within his/her AOR.
- Initiates and conducts code reviews, creates code standards, conventions and guidelines.
- Sugests technical and functional improvements to add value to the product;
- Constantly improves his/her professional level.
- Collaborates with other teams”
Your skills and experience
- Experience with the Distributed data/similar ecosystem (Spark, Hive, Presto) and/or streaming technologies such as Kafka/Flink
Life at CapgeminiCapgemini 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 CapgeminiCapgemini 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 |DisclaimerCapgemini 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 ApplicantApplicants 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 Summary: Data Engineer at Capgemini
Position Overview:
The Data Engineer will create distributed data processing and database solutions for various business applications, including analytics and reporting, within a self-organized team. The role includes addressing technical challenges, ensuring project goals are met, and leading design efforts.
Main Responsibilities:
- Collaborate with project leads to define specifications and deliver tasks on schedule.
- Analyze and select implementation strategies based on experience.
- Lead functional and architectural design, managing risks effectively.
- Conduct code reviews, establish coding standards, and suggest product improvements.
- Provide crisis management within assigned areas and ensure quality readiness.
Qualifications:
- Education: University degree in Computer Science or similar.
- Experience:
- 5+ years in software engineering/development.
- Expert in Python and SQL (Data modeling/design).
- Skilled in ETL orchestration tools like Airflow.
- Familiar with Spark, Snowflake, and Databricks.
- Nice to Have: Experience with distributed data ecosystems (Spark, Hive, Presto) and streaming technologies (Kafka/Flink).
Benefits:
Capgemini offers flexible work arrangements, comprehensive healthcare, financial well-being programs, paid time off, parental leave, and mentoring programs.
Company Overview:
Capgemini is a global technology and business transformation partner with over 340,000 employees worldwide. It focuses on helping organizations transition to a digital and sustainable future, providing end-to-end services from strategy to engineering.
Commitment to Diversity:
Capgemini is an equal-opportunity employer, promoting diversity in the workplace and providing reasonable accommodations during the recruitment process.
Work Authorization:
Applicants must have the legal right to work in the US without future sponsorship requirements.
