Description

You will design, develop, and maintain complex data integration systems using Python.

Responsibilities

• Build and manage ETL pipelines to extract, transform, and load data from diverse sources into Data Warehouses and Data Marts.
• Execute the full software development lifecycle, including design, coding, configuration, testing, debugging, and documentation.
• Conduct technical validations, participate in architecture and code reviews, and support User Acceptance Testing (UAT).
• Translate functional requirements into technical design specifications and provide feedback on analysis documents.
• Troubleshoot and resolve complex technical issues while collaborating with the development team to ensure system consistency.

Required Skills

• 8 to 10 years of practical IT experience.
• Extensive Python development expertise.
• Deep knowledge of ETL pipeline development.
• Experience with Data Warehousing architecture, including Star Schema, Snowflake Schema, Facts, and Dimensions.
• Proficiency with Unix environments.
• Experience with GitHub for code management.
• Experience with CI/CD workflows, specifically GitHub Actions.
• Experience with Snowflake cloud databases.
• Experience with Control M scheduling tools.
• Experience using Visual Studio Code.

Preferred Skills

• Prior work with Visual Studio Code, GitHub Actions, GitHub, Snowflake, and Control M.

Key Skills

Education

Any Graduate