🛠 Tech Stack

💼 About This Role

You'll design robust data platforms on AWS, GCP, or Azure and lead technical teams to deliver scalable solutions. You'll collaborate with data engineers and scientists to transform business needs into high-performance architectures.

🎯 What You'll Do

• Design and evolve cloud data platforms (AWS, GCP, Azure).
• Define best practices for data pipeline industrialization.
• Collaborate with data engineers and scientists on solutions.
• Ensure architecture quality, scalability, and security.
• Contribute to the data community via articles and meetups.

📋 Requirements

• Bac+5 degree or equivalent.
• 5+ years in data engineering or data architecture.
• Expertise in cloud platforms (AWS, GCP, or Azure).
• Proficiency with Spark, Flink, Kafka, SQL/NoSQL.

✨ Nice to Have

• Experience with DBT or Snowflake.
• Knowledge of infra-as-code and agile delivery.

🎁 Benefits & Perks

• 📚 Training budget: 5 destaffing days per year.
• 🏆 BlackBelt program: personalized mentoring and certifications.
• 💡 Knowledge sharing: conferences, internal training, and bonuses.
• 🤝 Community: meetups, blog, and collaborative environment.