🛠 Tech Stack

💼 About This Role

You'll design and implement scalable ETL/ELT data pipelines using Databricks and Spark for a banking client. You'll optimize Delta Lake and Lakehouse architectures to ensure high performance and data quality.

🎯 What You'll Do

• Design and implement ETL/ELT pipelines using PySpark/Scala and Databricks SQL.
• Optimize Delta Lake and Medallion architecture for data quality and performance.
• Implement real-time streaming with Spark Structured Streaming and DLT.
• Manage Unity Catalog for data governance and fine-grained security.

📋 Requirements

• 5+ years of data engineering experience with 3+ years in Databricks.
• Expert-level proficiency in Python with PySpark or Scala with Spark.
• Advanced SQL and data modeling skills (dimensional, 3NF, Data Vault).
• Hands-on experience with Unity Catalog and Delta Lake.

✨ Nice to Have

• Databricks Certified Data Engineer Professional certification.
• Experience with Terraform for Infrastructure as Code.
• Familiarity with MLOps concepts and MLflow.

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work in central Bucharest office.
• 💻 Latest tech stack with Databricks and cloud platforms.
• 📈 Career growth through mentorship and training opportunities.
• 🌍 International projects with global team exposure.
• 🎉 Stable company with 25+ years of industry presence.