Data Engineer

Role Summary

At Stefanini Group, we believe in the power of collaboration. We co-create innovative solutions in partnership with our clients, combining cutting-edge technology, artificial intelligence and human creativity. We are at the forefront of solving business problems, delivering real impact on a global scale.

When you join Stefanini, you become part of a global journey of transformation. We are committed to creating a positive impact not only on the business, but also on the lives of our employees. If you are looking for an opportunity for professional growth in a company that values innovation, respect, autonomy and partnership, you will find it here!

Join us and be part of the change!

#LIREMOTE

Daily activities

• Analyze and fix failures in data pipelines
• Optimize data ingestion and transformation processes
• Ensure quality and integrity of information used in AI models
• Work in highly complex environments, with distributed architectures and data governance
• Ensure compliance with standards such as LGPD
• Orchestration: Airflow, Azure Data Factory
• Distributed processing: Spark, Databricks
• Databases: relational and NoSQL (MongoDB)
• Languages: Python and SQL
• Experience with Data Engineering
• Support, maintenance and evolution of data pipelines
• Knowledge of Python and SQL

Experience with orchestration tools, such as

Airflow

Azure Data Factory

Experience with distributed processing, such as

Spark

Databricks

Experience with

• Code versioning
• Observability
• Infrastructure as code
• Continuous integration
• Participation in the definition of architectural standards
• Collaboration with data scientists and machine learning engineers

Experience with models

• Predictive
• Prescriptive
• Generative AI

Responsibilities

Main responsibility

Ensure the stability, maintenance and evolution of data solutions that support AI projects

Requirements

Knowledge of databases

• Relational
• NoSQL, especially MongoDB
• Ability to work in highly complex environments
• Knowledge of data governance and LGPD
• Ability to work with multidisciplinary teams
• Strong analytical skills, resilience and critical vision
• Differences
• Experience with AI projects
• Experience with integration between data pipelines and AI services
• Knowledge in MLOps

Benefits

• 🍛 Food vouchers or meal vouchers;
• 👨🏼🎓 Discount on language courses, universities and institutions;
• 📚 Stefanini Academy — platform with free, updated and certified online courses;
• 🗣 Mentoring;
• 💉 Benefits club for consultations and exams;
• 🏥 Medical assistance;
• 🦷 Dental assistance;
• 💰 Advantages and discounts club in the best establishments;
• 🛫 Travel club;

🐶 Agreement for pets.