Description

You will own data processing, database interactions, and ETL workflows using Python and SQL.

This role is on-site.

Responsibilities

• Manipulate and process data using Python libraries like pandas and NumPy.
• Perform data wrangling, cleaning, and feature engineering tasks.
• Execute complex SQL queries involving joins, subqueries, CTEs, and window functions.
• Understand and participate in ETL processes.
• Apply data visualization techniques to present findings.

Required Skills

• 7+ years of professional experience.
• Strong proficiency in SQL, including joins, subqueries, CTEs, and window functions.
• Proficiency in Python for data manipulation.
• Hands-on experience with relational databases: MySQL, PostgreSQL, SQL Server, or Oracle.
• Experience in data wrangling, cleaning, and feature engineering.
• Familiarity with ETL processes and related tools.
• Proficiency with version control systems, specifically Git.
• Strong analytical and problem-solving capabilities.

Key Skills

Education

Any Gradute