🛠 Tech Stack

💼 About This Role

You'll design and maintain scalable ETL/ELT pipelines and data architectures for hundreds of terabytes of user data at Amanotes. You'll drive automation and modernize infrastructure to support AI and machine learning initiatives. Collaborate with cross-functional teams to build impactful data products like anomaly detection and A/B test analyzers.

🎯 What You'll Do

• Design, develop, and maintain robust ETL/ELT pipelines.
• Automate data workflows to improve reliability and efficiency.
• Modernize and scale data infrastructure for AI initiatives.
• Build data-driven solutions with cross-functional teams.

📋 Requirements

• 3-4+ years deploying production code.
• Proficiency in Python, SQL, Apache Airflow, and dbt.
• Deep understanding of analytical Data Warehouses (prefer Google BigQuery).
• Experience with cloud platforms (GCP, AWS, or Azure) and Git.

✨ Nice to Have

• Experience with streaming tools like Kafka, Apache Spark, or Google Pub/Sub.
• Experience building CI/CD pipelines for data processes.
• Knowledge of modern data and AI landscapes.

🎁 Benefits & Perks

• 💰 Competitive salary upon experience
• 🎓 Personal learning budget (Udemy, LinkedIn Learning)
• 🏖️ 12 days paid annual leave plus 10 sick days
• 🏠 12 days working from home per year
• 🎵 Engaging music events and team-building budget