Description

You will build and maintain data integration pipelines and high-volume data warehouse applications.

Responsibilities

• Develop, debug, and optimize data integration mappings and scripts from diverse data sources.
• Use SQL to retrieve, manipulate, cleanse, and store data within the warehouse.
• Execute unit testing, system integration testing, regression testing, and assist with user acceptance testing.
• Collaborate with business stakeholders to create documentation for accurate data usage and interpretation.
• Maintain established standards and provide input to improve data engineering processes.

Required Skills

• Strong Python development experience.
• Proficient SQL skills for data manipulation and storage.
• Experience with Azure Services and Architecture.
• Ability to manage multiple tasks and conflicting priorities simultaneously.
• Experience delivering data warehouse projects independently or within a team.
• Any Graduate degree.

Preferred Skills

• PySpark experience.

Key Skills

Education

ANY GRADUATE