Data Engineer

Requirements: 

• Develop and maintain data pipelines and ETLs. 

• Support the development and maintenance of data visualization solutions for the developed data products. 

• Build and maintain cloud infrastructure for multiple solutions using various AWS services through AWS CDK written in Python. 

• Build reusable components for multiple solutions. 

• Design, build, and implement data quality checks. 

• Gather and translate business requirements into technical requirements. 

• Implement Data Engineering best practices. 

• Document all developed components. 

• Assist in solution architecture design and implementation. 

• Build queries to solve analytical questions. 

• Ensure information security standards are always maintained. 

• Design, build, and maintain robust and scalable data models across various database vendors and types, including SQL and NoSQL. 

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team