Description

You design, build, and maintain data pipelines using Python and SQL.

This role is on-site.

Responsibilities

• Develop reusable scripts to extract data from structured and semi-structured file formats.
• Write optimized, complex SQL queries to retrieve, clean, and transform data for analytics.
• Integrate data from diverse sources, including APIs and multiple relational databases.
• Document data workflows and enforce coding standards and version control practices.
• Support Power BI development, enhancements, and migration efforts.

Required Skills

• 10+ years of experience in data engineering.
• Expert-level Core Python for production-grade ETL processes.
• Advanced SQL skills, including stored procedures and query optimization.
• Hands-on experience with PostgreSQL, MySQL, and SQL Server.
• Proficiency in building ETL pipelines for CSV, JSON, and Excel data.
• Experience consuming REST APIs for data ingestion.
• Familiarity with Git version control and shell scripting.

Preferred Skills

• Experience with Paginated Reports and Power BI enhancement.

Key Skills

Education

Any Graduate