Data Engineer

Idego

Cluj-Napoca, Romania

4 zile în urmă

source : Just Join IT

Airflow (regular)

Data modeling (regular)

Data Systems (regular)

Scala (regular)

At Idego Group , you’ll work with people who find pleasure in programming and have deep knowledge about variety of technologies.

You’ll work for our clients worldwide and provide support in great software development, including IoT, machine learning and blockchain related projects .

You will work in a relaxed atmosphere using the latest technology, software and Agile methodology of project management.

Simply, at Idego we are trying to provide the perfect conditions for work and personal development.

We are looking for a Data Engineer to join a team of versatile engineers that craft libraries, tooling and the infrastructure supporting data processing at Spotify.

We research and develop state of the art solutions, collaborating with other teams within the Commerce Tribe to evolve a robust and reliable platform.

Our platform is built to enable data practitioners to solve complex technical challenges, while providing an awesome developer experience, enforcing standards and making sure data workflows run reliably and efficiently.

Requirements :

You are Data centric (able to morph between a Data Engineer and Data Scientist).

You have a strong understanding of data systems.

You are knowledgeable and passionate about improving and building data platforms.

You are familiar with current engineering practices such as distributed architecture.

You are curious about new technologies and finding uses and insights for all types of data.

You will have experience working on and building distributed data pipelines that ingest huge amounts of data across multiple sources and brands.

Required experience :

You will have experience working with Scala and Python, Scio & Luigi would be an encouraged bonus.

Experience of around 4-6 years

Able to collaborate across multiple squads to deliver data products and solve data needs

Nice to have :

Experience setting up data systems for multi-million transactions per day

Some experience in commerce systems and data knowledge needs

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