Data Engineer: SQL/ETL

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.We are looking for a Snowflake Data Engineer with strong **administration and engineering experience** to manage, optimize, and support enterprise data platforms. The candidate should have hands-on expertise in **Snowflake administration**, along with experience in **Databricks, requirement gathering, solution design, and documentation**.Manage and administer Snowflake environments, including user roles, access control, and security policies.- Configure and maintain warehouses, databases, schemas, and resource monitors.- Monitor system performance, query usage, and cost optimization.- Implement data security, encryption, masking policies, and governance controls.- Handle Snowflake account setup, backup, and disaster recovery strategies.- Design and build scalable data pipelines using Snowflake and Databricks (PySpark/SQL).- Develop and maintain ETL/ELT pipelinesfor structured and semi-structured data.- Optimize SQL queries and performance tuning for large datasets.- Support data ingestion via Snowpipe, Tasks, Streams, and external stages.- Work with business stakeholders to gather data requirements and define technical solutions.- Translate business needs into scalable data models and pipelines.- Participate in solution design discussions and architecture planning.- Contribute to the design of data warehouse and lakehouse architecture.- Develop logical/physical data models and ensure alignment with best practices.- Ensure high availability, scalability, and performance of the data platform.Strong experience in Snowflake Administration- Hands-on experience with **Databricks / Spark / PySpark**- Advanced SQL (query optimization and tuning)- Python / PySpark- ETL/ELT pipeline development- Experience with AWS / Azure / GCP- Knowledge of cloud storage (S3, ADLS, etc.)- Data warehousing and modeling (Star/Snowflake schema)- Performance tuning and optimization- Data governance and security best practices- Experience with orchestration tools such as **Airflow / Azure Data Factory**- Familiarity with **Delta Lake / Lakehouse architecture**- Exposure to **CI/CD tools and Git**- Knowledge of **monitoring and alerting frameworks**- Bachelor's or Master's degree in Computer Science, Engineering, or related fieldThe base compensation range for this role in the posted location is: $112,700 - $148,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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. 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 accommodation does not pose an undue hardship. 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. 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 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.