Description

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 formats.
• Write optimized, scalable SQL queries to clean and transform data for analytics.
• Integrate data from diverse sources, including REST APIs and multiple databases.
• Collaborate with analysts and data scientists to deliver reliable datasets.
• Document workflows and enforce coding best practices and version control.

Required Skills

• 5+ years of hands-on experience in data pipeline development.
• Expert proficiency in Python for ETL processes.
• High skill in writing complex SQL queries and stored procedures.
• Experience with PostgreSQL, MySQL, and SQL Server.
• Proficiency in handling CSV and JSON data formats.
• Experience building and maintaining ETL pipelines.
• Familiarity with consuming REST APIs for data ingestion.
• Working knowledge of Git for version control.

Key Skills

Education

Any Graduate