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Develop AI tooling, libraries, packages, and custom Airflow orchestration to support BI modeling and data science teams. Build and maintain GCP infrastructure with Terraform, improve metadata-as-code integration with DataHub, and operate the multi-team Airflow platform.
We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.
More than 6000 colleagues are part of eMAG Teams. We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster!
We’re a small full-stack data engineering team that builds the foundations other data teams stand on.
We architect tools and processes that act as force multipliers across the platform.
What you’ll have to do:
What makes you a good fit:
What makes you stand out:
What we’ve prepared for you:
Curious to find out more about the next step in your career? Apply now and if your experience is relevant for the role you wish, we will give you a call for more details! Also, here you can find our confidentiality policy if you want to consult it.
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