🛠 Tech Stack

💼 About This Role

You'll build solid data pipelines with Python, SQL, FastAPI, Apache Spark, and orchestrate complex workflows on Google Cloud. You'll migrate legacy stacks and experiment with GenAI to boost data workflows.

🎯 What You'll Do

• Build and maintain data pipelines with Python, SQL, FastAPI, Spark
• Manage BigQuery, Dataflow, Composer on Google Cloud
• Design data architecture, monitoring, and scalability
• Migrate legacy stacks to cloud
• Experiment with generative AI for data workflows

📋 Requirements

• Strong experience with Python and SQL
• Hands-on with Apache Spark or similar distributed processing
• Experience with Google Cloud (BigQuery, Dataflow, Composer)
• Understanding of data architecture and pipeline optimization

✨ Nice to Have

• Experience with Airflow and Terraform
• Familiarity with Looker Studio
• Interest in generative AI

🎁 Benefits & Perks

• 📚 SFEIR Institute continuous training and certifications
• 🏢 Skill-Based Organization with flexible career paths
• 🏖️ Hybrid work (2-3 days remote per week)
• 🎤 Weekly tech events and 71 community groups
• 💶 Annual salary review and competitive compensation

📨 Hiring Process

Call with recruiter, HR interview, PlayOffs technical test, meeting with business team, final with Nicolas Leroy.