Job Description

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
  • 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
  • 7+ years in data engineering roles, demonstrating a high level of ...

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