🛠 Tech Stack

💼 About This Role

You'll design and implement scalable data architectures and Databricks-based lakehouse platforms to support analytics and ML workflows. You'll build production-grade pipelines turning time-series data into ML-ready features, ensuring data quality and reliability for downstream systems.

🎯 What You'll Do

• Architect and evolve a Databricks-based data platform for scalable data workflows.
• Build and maintain self-service tooling and infrastructure abstractions.
• Design and optimize high-performance ETL/ELT pipelines using Delta Live Tables.
• Implement data security, compliance, and access controls with Unity Catalog.

📋 Requirements

• 6+ years in data engineering or large-scale data systems.
• Hands-on experience with Databricks or modern lakehouse platforms.
• Proficiency in SQL and experience with NoSQL databases.
• Experience building scalable ETL/ELT pipelines using Spark.

✨ Nice to Have

• Experience with time-series, IoT, or high-volume telemetry data systems.
• Familiarity with EV charging ecosystems (OCPP).
• Experience building ML feature pipelines or batch inference workflows.