Chief Data Engineer

Chief Data Engineer – seasoned, highly driven professional with extensive experience in data processing and advanced data management. The ideal candidate will lead efforts in integrating data from multiple sources, ensuring its transformation into reliable, insightful datasets, and overseeing effective management across advanced cloud storage environments.

If you possess advanced expertise in Python-based data workflows, have operated extensively with cutting-edge tools like Databricks, and excel in addressing the complexities of large-scale datasets, we would like to connect with you!

Responsibilities

• Drive the design and governance of enterprise-level data pipelines for scalable ingestion, transformation, and storage across multiple ecosystems.
• Provide strategic oversight and practical expertise in handling complex datasets, ensuring the preparation of highly optimized, scalable systems for analytical applications.
• Guide and own the use of Python and advanced data processing frameworks (e.g., Pandas, NumPy) for mission-critical exploratory data analysis (EDA).
• Oversee the adoption and operational alignment of advanced cloud tools and infrastructure, standardizing scalability and ensuring ongoing performance excellence.
• Demonstrate expertise in Databricks, including full lifecycle oversight of Lakehouse architecture, workflows, and ETL optimization.

Requirements

Nice to have

We offer

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