Description

You will build data pipelines and generate metrics using Python and SQL.

Responsibilities

• Collate and aggregate data from various sources to produce actionable insights and metrics.
• Optimize SQL Server performance through query tuning for large data sets.
• Develop data processing workflows using PySpark and Pandas.
• Maintain and improve data integrity across integrated systems.

Required Skills

• 5+ years of professional experience.
• Strong proficiency in Python 3.
• Extensive experience with PySpark and Pandas.
• Advanced SQL Server skills, specifically query tuning for large-scale data.
• Experience with SQL.
• Experience with Azure.
• Experience with PowerBI.
• Bachelor's degree or equivalent graduate education.

Key Skills

Education

ANY GRADUATE