DataArt is a global software engineering firm that takes a uniquely human approach to solving problems.
28 октября 2020

Big Data Software Engineer (AWS, Python), Digital Insurance Services (вакансия неактивна)

Киев, Харьков, Львов, Днепр, Одесса, Херсон, удаленно

Необходимые навыки

Experience building and maintaining backend Python services
Spoken English

Будет плюсом

Experience building and deploying Docker-ised applications
Experience with AWS services (CLI, S3, Redshift, Lambda)


DataArt offers:
• Professional Development:
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, technology stacks, try yourself in different roles;
— Over 150 courses for workplace-based training
— Study and practice of English: courses and communication with colleagues and clients from different countries;
— Support of speakers who make presentations at conferences and meetings of technology communities.
• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
• Lack of dress code, friendly atmosphere, concern for the comfort of specialists;
• Flexible schedule and the ability to work remotely;
• The ability to work in any of our development centers.


Integrate third-party systems and APIs (inbound and outbound) into our internal systems and data lake using Python scripts
Build reports based on S3 and Redshift data
Build data quality monitoring and alerting for incoming integrations to ensure validity within our system
Refactor an existing project into Python (validation and processing of incoming data with alerting, Lambda functions to integrate with outside APIs)

О проекте

The client is bringing digital insurance service to its clients, and building a product that is rebooting the insurance industry. The client hires DataArt to help them with the data transformation project and to reinforce the existing team.

The client is located in Germany, but the team is multinational, so having verbal & written English communication is a key requirement. The candidate should have a proven background in implementing data projects.

The technology stack for this position is Python, Docker, AWS, Redshift, Lambda.