Description

You will architect and build production-ready data solutions using Python to solve complex business problems.

Responsibilities

• Architect data solutions in Python designed for production environments.
• Apply analytical methods to disparate data sources to address business requirements.
• Develop optimized code for data transformations, focusing on cost, performance, and reproducibility.
• Build reusable components and contribute to shared repositories to support production data science.
• Write technical documentation and narratives that connect business problems to data-driven solutions.

Required Skills

• 4+ years of experience in ETL development, data analysis, and dashboarding.
• Advanced programming proficiency in Python.
• Advanced SQL capabilities for complex data extraction and analysis.
• Advanced dashboarding skills using Tableau or AWS QuickSight.
• Solid understanding of established software design patterns.
• Experience with AWS environments.
• Bachelor's degree.
• Strong technical communication and presentation skills.

Key Skills

Education

Bachelor's degree