🛠 Tech Stack

💼 About This Role

You'll lead data and AI teams in Belo Horizonte, coordinating projects and ensuring data quality. You'll build a robust data platform and deploy machine learning models to production.

🎯 What You'll Do

• Lead and develop a team of data engineers and AI specialists
• Coordinate data and AI project delivery ensuring quality and deadlines
• Ensure data quality and consistency for business areas
• Support deployment of ML models and AI solutions
• Establish best practices for engineering, documentation, and monitoring

📋 Requirements

• Degree in Computer Science, Engineering, or related field
• Solid knowledge of data architecture (Data Lakehouse, Data Mesh, Data Warehouse)
• Experience with data pipelines (ETL/ELT) and tools like Apache Spark, Airflow, dbt
• Proficiency in Python and SQL
• Cloud platform knowledge (AWS, Azure, GCP) and data services

✨ Nice to Have

• Postgraduate or MBA in data, technology, or management
• Experience in technology or data-driven companies

🎁 Benefits & Perks

• 🍽️ Vale-alimentação e Vale-refeição
• 🏥 Plano de saúde e odontológico
• 🎂 DayOff de Aniversário
• 👶 Baby On Board e Sala de Amamentação
• 🏋️ Wellhub e Grupo de Corrida Inter

📨 Hiring Process

Estimated timeline: 4-8 weeks

1. 1Resume screening· 1-2 weeks
2. 2Initial alignment call· 30 min
3. 3Assessments· 1-2 weeks
4. 4Interview with Talent team· 1 hour
5. 5Technical test· 1-2 weeks
6. 6Interview with leadership· 1 hour

🚩 Heads Up

• Role title 'Data Coordinator' may be junior but requirements demand senior leadership experience (3+ years managing teams)
• Long list of requirements (7+ must-haves) mixing technical and management skills