Data Engineer (Python, Databricks)

Responsibilities

• Contribute to the design and development of end‑to‑end data flows on a modern data platform.
• Support the transformation of a legacy system into a Databricks-based architecture.
• Build and optimize Python and Databricks workflows to consolidate, process, and transform data for downstream calculations.
• Ensure data quality, performance, and reliability across all processing steps.
• Collaborate with cross-functional teams and external partners to validate requirements and deliver integrated solutions.
• Document workflows and provide ongoing technical support for platform enhancements.

Requirements

• Strong proficiency in Python for data processing and automation.
• Hands-on experience with Databricks or similar data engineering platforms.
• Ability to design, build, and optimize scalable dataflows.
• Experience working with legacy-to-cloud migration or modernization projects.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work collaboratively with internal teams and external consultants.