Description

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

Responsibilities

• Develop reusable scripts for data extraction from structured and semi-structured file formats.
• Write optimized and scalable queries to retrieve, clean, and transform data for analytics.
• Integrate data from diverse sources, including APIs and multiple databases.
• Document data workflows and enforce coding and version control best practices.

Required Skills

• 5+ years of hands-on experience in data pipeline development.
• Expert-level proficiency in Python for ETL processes.
• Highly skilled in writing complex SQL queries and stored procedures.
• Experience connecting Python scripts with PostgreSQL, MySQL, and SQL Server.
• Extensive experience parsing and transforming CSV, JSON, and Excel data.
• Experience consuming REST APIs for data ingestion.
• Familiarity with version control (Git) and shell scripting.
• Knowledge of data validation and performance tuning.

Key Skills

Education

Any Graduate