Senior Data Engineer

📋 Description

• Data engineering: cloud-native pipelines and data assets
• Databricks/Snowflake: Spark, PySpark, Delta Lake
• MLOps: MLflow for model management
• Cloud: AWS with Azure experience
• Programming: Python, SQL, Scala
• Tooling: GitHub, CI/CD (Azure DevOps, GitHub Actions), Airflow, Tableau
• Hybrid role: 3 days on-site

🎯 Requirements

• 5+ years in Data Engineering
• 3+ years with Databricks in production
• Cloud: AWS/Azure/GCP, data lake & warehousing
• ETL tools & BI: Airflow, PowerBI
• Data quality & governance: Atlan, Monte Carlo
• Data modeling concepts
• Excellent communication and collaboration
• Autonomous and team-focused

🎁 Benefits

• An opportunity to join a fast-growing company
• Career advancement opportunities
• Learning and development opportunities
• Flexible working environment
• Competitive salaries based on experience