Description

You will build and maintain data-driven applications using Python and SQL, optimizing pipelines and ensuring data integrity across large-scale systems.

This role is on-site.

Responsibilities

• Develop and optimize data pipelines using Python and PySpark.
• Write and manage complex SQL queries for data extraction and manipulation.
• Implement data engineering workflows to support large-scale datasets.
• Maintain the existing codebase and ensure data integrity across systems.

Required Skills

• 6+ years of professional software development experience.
• Advanced proficiency in Python.
• Strong background in SQL and relational databases.
• Hands-on experience with PySpark.
• Proven experience in data engineering roles.
• Bachelor's degree or equivalent graduate-level education.

Key Skills

Education

Any Gradute