Description

You will build and maintain data pipelines to support analytics and reporting.

Responsibilities

• Design, build, and maintain data pipelines using Python and SQL.
• Develop reusable scripts to extract data from structured and semi-structured formats.
• Write optimized queries to clean and transform data for analysis.
• Integrate data from diverse sources, including APIs and multiple databases.
• Document data workflows and enforce coding best practices.

Required Skills

• 5+ years of hands-on experience in data engineering.
• Expert proficiency in Python for ETL processes.
• High skill in writing complex SQL queries and stored procedures.
• Experience connecting Python to relational databases (PostgreSQL, MySQL, SQL Server).
• Experience integrating data from CSV, JSON, and Excel files.
• Familiarity with consuming REST APIs for data ingestion.
• Experience with Git for version control.
• Knowledge of ETL Pipelines.
• Experience with Sql.

Preferred Skills

• Familiarity with Power BI Development, enhancement, and Migration.

Key Skills

Education

Any Graduate