**About the job you’re considering** Join a high-performing team as a Senior Data Engineer, where your Databricks certification will position you as a technical leader in building scalable, distributed data platforms. In this role, you’ll engineer robust solutions using Databricks, Spark, and Snowflake to process and analyze billions of events daily—driving insights across product analytics, marketing intelligence, and financial reporting. You’ll work alongside seasoned engineers in a fast-paced, collaborative environment that values innovation, precision, and impact. This is a unique opportunity to influence enterprise-scale data architecture and help shape the future of data-driven decision-making. **Your role** + Lead the design and implementation of scalable, high-performance data pipelines and models for Data Lakes and Warehouses.btains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders. + Translate business requirements into functional and technical specifications, collaborating with stakeholders to ensure alignment. + Drive architectural decisions and ensure solutions meet performance, scalability, and reliability standards. + Manage project timelines, provide accurate estimations, and ensure timely delivery of high-quality solutions. + Proactively identify and mitigate technical risks, resolving complex issues within your area of responsibility. + Champion code quality through reviews, standards, and best practices, while mentoring team members. + Continuously seek opportunities to optimize data workflows and contribute innovative ideas to improve product value. **Your skills and experience** + 8 years of professional experience in data engineering or related fields, with strong proficiency in Python and advanced SQL. + Databricks Certification is required, along with hands-on experience using Databricks, Spark, and Snowflake. + Proven expertise in building scalable data pipelines and distributed computing systems. + 5 years of experience with ETL orchestration tools (e.g., Airflow, Flink, Oozie, Azkaban) on AWS or GCP. + Deep knowledge of database platforms such as Redshift, PostgreSQL, and Snowflake. + Experience with AWS services (EC2, S3, IAM) and familiarity with reporting tools like Tableau, Superset, or Looker. + Strong communication skills and ability to collaborate across technical and non-technical teams. **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/Analyst_ **Organization:** _ERD PPL CAN_ **Title:** _DataBrick Certified Sr. Data Engineer_ **Location:** _CAN-ON-Mississauga_ **Requisition ID:** _080017_