Description

You will develop and maintain data processing solutions using SQL and PySpark.

This role is hybrid.

Responsibilities

• Develop data processing pipelines using PySpark.
• Write and optimize complex SQL queries for data extraction and transformation.
• Implement Python scripts to automate data workflows.
• Maintain and troubleshoot existing database structures and ETL processes.

Required Skills

• 10+ years of professional experience in data development.
• Expert proficiency in PySpark.
• Strong command of Python programming.
• Experience with SQL database management and querying.
• Any Graduate education.

Key Skills

Education

Any Graduate