Senior Data Engineer

Description

Job Summary: We are seeking a technology- and innovation-driven professional to develop and optimize data in a Big Data environment, ensuring best practices and collaboration with teams. Key Highlights: 1. Inclusive and collaborative environment in constant evolution 2. Focus on best practices for data development and optimization 3. Work on Cloud-based Big Data with Databricks **Our Opportunity:** Are you passionate about technology and innovation and eager to join an inclusive, collaborative, and continuously evolving environment? Then this opportunity is for you! At Capgemini, we value the balance between personal and professional life. Therefore, we offer flexible, hybrid work models aligned with project needs. Our goal is to deliver the best experience for you—respecting your lifestyle and promoting well-being. **Job Responsibilities** * Ensure development best practices: Guarantee that all data development practices adhere to standards of quality and efficiency. * Optimize data usage: Enhance utilization of available data to maximize its value. * Support refinement activities: Collaborate with teams to refine user stories and requirements, ensuring clarity and feasibility. * Support story creation: Assist in drafting clear and well-defined user stories, facilitating the work of data engineers. * Support AS-IS and TO-BE design: Participate in documenting current and future processes, identifying technical debt and improvement opportunities. * Develop refined stories: Implement approved and refined user stories, ensuring code quality and efficiency. * Build data products: Develop and maintain data products in a Cloud-based Big Data environment with Databricks, ensuring scalability and performance. * Collaborate with data and business stakeholders: Work closely with data and business stakeholders to ensure developed solutions align with best practices and business needs. **.** **Requirements** * Experience with CI/CD pipelines – GitHub/GitHub Actions * Productionalization of models built in Databricks (MLOps) * Experience with Agile methodologies * Strong knowledge of Spark, Python, and programming logic is extremely important!!! **Diversity, Inclusion, and Belonging:** At Capgemini, you can be your authentic self. We value diversity in all its forms and foster an inclusive environment through initiatives such as: * Women@Capgemini – Female empowerment and gender equity. * Capgemini Black – Representation and appreciation of Black culture. * LGBTQIA+@Capgemini, Capgemini Accessibility, among others. Our commitment is ongoing: We are recognized by GPTW, Bloomberg Gender Equality Index, EDGE, and Ethisphere as one of the world’s most ethical and inclusive companies. Our job openings are open to everyone, regardless of skin color, ethnicity, religion, age, gender identity, sexual orientation, or disability. **Development and Benefits** Here, you are the protagonist of your career! We offer: * A structured career plan and personalized learning paths. * Corporate University with access to Harvard and Pluralsight. * Official certifications with partners including SAP, AWS, Microsoft, and Salesforce. * Language courses with EF Education First (English, Spanish, French, and German). **Comprehensive Well-being:** * Medical and dental assistance. * Wellhub and Equilibrium (physical and mental health). * Private pension and life insurance. * Family Care Program: Extended maternity and paternity leave, fertility support, and personalized health and well-being guidance. * Meal allowance, benefits club, and much more! **Make It Real** At Capgemini, we unleash human potential through technology to build a more inclusive, sustainable, and innovative future. If you share these values, join us in transforming the world!