Contractor Big Data Engineer

Opis oferty pracy

The salary range envisaged for the supplier depending on the skill set is: 

14 200 - 25 410 PLN net + VAT

We are part of Allegro and we are specialists in providing advanced IT systems for logistics management.

We practice Code Review, Continuous Integration, Scrum/Kanban, Domain Driven Design, Test Driven Development, Pair Programming, depending on the team.

To match the scale, we also focus on building entire Platforms of tools and technologies that accelerate and facilitate day-to-day development, and we ensure the best Developer Experience to our teams.

We are looking for suppliers who

• Are programming in languages such as Scala, Python or Java

• Strong understanding of distributed systems, data storage, and processing framework - Spark or Apache Beam.

• Have knowledge of GCP (especially Composer, PubSub and Big Query) or other public cloud environments like Azure or AWS

• Use good practices (clean code, code review, TDD, CI/CD)

• Navigate efficiently within Unix/Linux systems

• Possess a positive attitude and team-working skills

• Are eager for personal development and keeping their knowledge up to date

• Know English at B2 level

What we offer

• Cooperating with people  you can always count on — we have on board top-class specialists and experts in their areas of expertise

• A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things

• Opportunities for professional development through involvement in advanced technological projects and collaboration with experienced specialists

Why is it worth working with us?

• We practice Code Review, Continuous Integration, Scrum/Kanban, Domain Driven Design, Test Driven Development, Pair Programming, depending on the team

• To match the scale, we also focus on building entire Platforms of tools and technologies that accelerate and facilitate day-to-day development, and we ensure the best Developer Experience to our teams

• Technological autonomy: you get to choose which technology solves the problem at hand (no need for management’s consent). You are responsible for what you create

• Our deployment environment combines private Data Centers (tens of thousands of servers) and Public Clouds (Google Cloud and Microsoft Azure)