🛠 Tech Stack

💼 About This Role

You'll design and maintain scalable data pipelines and cloud-based data architectures for a data-driven environment. Your work will transform large datasets into strategic insights for business and advanced analytics.

🎯 What You'll Do

• Design and maintain scalable data pipelines for ingestion and processing.
• Build and optimize ETL/ELT processes integrating multiple data sources.
• Support data modeling initiatives for analytics and BI use cases.
• Implement cloud-based data architectures ensuring performance and scalability.

📋 Requirements

• Solid experience in Data Engineering with ETL/ELT pipelines.
• Strong knowledge of data modeling and dimensional modeling.
• Proficiency in Python, R, or Scala for data processing.
• Strong experience with SQL and relational databases.

✨ Nice to Have

• Familiarity with Spark and Airflow.
• Experience with big data environments.
• Understanding of data governance and analytics infrastructure.

🎁 Benefits & Perks

• 💰 Profit sharing program
• 🍽️ Meal and food vouchers
• 🏥 Health and dental insurance
• 🏋️ Gympass access
• 🏠 Home office support

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min