Brazil
GFT Technologies SE
Capgemini
Data Analyst
Brazil
Barueri, São Paulo, Brazil
PythonSQLAWS
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Diversity, Inclusion, and Belonging
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!
At Capgemini, we value work-life balance. That's why 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.
We are looking for a Data Analyst to join our team.
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 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!
Responsibilities
- Building data pipelines in a Medallion architecture (Bronze, Silver, and Gold) using Databricks.
- Implementing batch and streaming ingestion flows with Delta Lake and Structured Streaming.
- Developing notebooks and jobs for data processing, enrichment, and availability.
- Creating dashboards in Power BI integrated with analytical layers.
- Developing Python microservices integrated with Machine Learning and Generative AI models.
- Automating model training, deployment, and monitoring using Azure ML and MLflow.
- Implementing data governance, corporate catalog, lineage, and quality checks through Purview and Unity Catalog.
Requirements
- Python 3.12 and developing APIs with FastAPI.
- PySpark for data processing and transformation.
- Databricks SQL and analytical data modeling.
- Power BI for building analytical and executive dashboards.
- Azure Machine Learning (SDK v2) and AutoML.
- MLflow for experiment management and model versioning.
- Azure AI Foundry / GPT-4o for Generative AI solutions.
- Microsoft Purview for data governance, cataloging, and quality.
Preferred Qualifications
- Databricks certifications (Data Engineer Associate/Professional).
- Microsoft Azure certifications (DP-100, AI-102).
- Experience with Feature Store.
- Knowledge in MLOps and LLMOps.
- Experience with recommendation and demand forecasting architectures.
- Experience in banking or large-scale environments.
Development and Benefits
Here, you are the protagonist of your career! We offer:
- Structured career path and personalized learning tracks.
- 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 insurance.
- 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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