🛠 Tech Stack

💼 About This Role

You'll lead data engineering projects, developing pipelines and industrializing data solutions for clients. You'll collaborate with a dynamic national practice of 70 consultants on cloud-native architectures. Join a community that values knowledge sharing and continuous learning through events and mentoring.

🎯 What You'll Do

• Develop data pipelines following best practices on client data platforms.
• Collaborate with analysts and scientists to industrialize their work.
• Build resilient data assets using cloud infrastructure.
• Participate in community events and knowledge sharing.

📋 Requirements

• Experience with cloud providers (AWS, GCP, or Azure).
• Proficiency in Python, SQL, or Scala for data engineering.
• Knowledge of query engines (Spark, Databricks, etc.).
• Good level of English for remote work with international clients.

✨ Nice to Have

• Experience with data storage (Redshift, Snowflake, BigQuery).
• Experience with streaming frameworks (Kafka, Kinesis, DataFlow).

🎁 Benefits & Perks

• 📈 Blackbelt career program with certifications and mentoring.
• 🏡 Remote work charter for hybrid flexibility.
• 🤝 Community events (BBL, meetups, dojos).
• 🌍 Foundation engagement for digital inclusion.

🚩 Heads Up

• Mentions Pokémon and Santa Claus lists mixing technical terms.