Brazil
GFT Technologies SE
Capgemini
Mid-Level Data Engineer - Python, Databricks, Azure
Brazil
Barueri, São Paulo, Brazil
PythonSQLAWS
Automatic translation. Check the original.
OUR OPPORTUNITY
Are you passionate about technology, innovation, and want to be part of an inclusive, collaborative, and constantly evolving environment? Then this opportunity is for you!
We are looking for an Engineer focused on Python, Databricks and Python, to join our team.
DIVERSITY, INCLUSION, AND BELONGING
At Capgemini, you can be who you are. We value diversity in all its forms and promote an inclusive environment through committees such as:
- Women@Capgemini – Female empowerment and gender equality.
- 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 most ethical and inclusive companies in the world. Our job openings are for everyone, regardless of color, ethnicity, religion, age, gender identity, sexual orientation, or disability.
MAKE IT REAL
At Capgemini, we unleash human energy through technology to build a more inclusive, sustainable, and innovative future. If you share these values, come transform the world with us!
At Capgemini, we value work-life balance. Therefore, we offer flexible and hybrid work models, depending on project needs. Our goal is to provide the best experience for you, respecting your lifestyle and promoting well-being.
RESPONSIBILITIES
- Develop and maintain data solutions using the Databricks platform.
- Implement and sustain the Medallion Architecture, organizing data in Bronze, Silver, and Gold layers, ensuring quality, traceability, and governance.
- Build and evolve Data Products, from ingestion to availability for analytical and business consumption.
- Work within the Data Mesh concept, promoting responsible decentralization, data domain ownership, and cross-functional collaboration.
- Develop efficient, scalable, and performant data pipelines.
- Perform data transformations, validations, and modeling for various analytical use cases.
- Support business and analytical teams in data consumption, ensuring reliability and clarity of information.
- Document solutions, pipelines, and data products clearly and in a standardized manner.
- Identify continuous improvements in performance, costs, and data quality.
REQUIREMENTS
- Hands-on experience with Databricks.
- Hands-on experience with Python; Azure Cloud
- Knowledge of Medallion Architecture (Bronze, Silver, Gold layers).
- Experience in building Data Products.
- Knowledge of Data Mesh and its principles (domains, ownership, and federated governance).
- Proficiency in SQL for data analysis and transformation.
- Experience with PySpark for distributed data processing.
DEVELOPMENT AND BENEFITS
Here, you are the protagonist of your career! We offer:
- Structured career plan and personalized learning paths.
- Corporate University, with access to Harvard, Udemy.
- Official certifications with partners like SAP, AWS, Microsoft, Salesforce.
- Languages with EF Education First (English, Spanish, French, and German).
Complete well-being
- Medical and dental assistance.
- Wellhub and Equilibrium (physical and mental health).
- Private pension plan and life insurance.
- Family Care Program: extended maternity and paternity leave, fertility support, personalized health and well-being guidance.
- Meal voucher, benefits club, and much more!
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