Lead Data Engineer

18 ott - Milano
Nexi Digital

Come join us and shape the technological future of Digital Payments You’ll be part of an international agile team that delivers state-of-the-art Digital Solutions to facilitate and enhance payment experience. Data & Analytics represent a strategic and vital function for us and we are looking for a new colleague passionate about extracting, studying and analyzing data from millions of transactions carried out daily through Nexi payment methods.

La preghiamo di leggere attentamente i seguenti dettagli prima di inviare la sua candidatura.
RESPONSIBILITIES
We are looking for an ambitious young professional who’s willing to join a data driven environment to:

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- Industrialize highly scalable data pipelines covering the end to end data lifecycle, from discovery to production
- Collect raw datasets aligned with business needs to develop algorithms capable of transforming such raw data into usable and actionable business intelligence
- Identify new – and innovative – data validation methods and data analysis tools
- Process large-scale multi-structured information (heterogeneous sources,



large volume, raw data) and guarantee optimized data sets

REQUIREMENTS

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- 3+ years of experience as Data Engineer
- Demonstrated experience in Data pipelining / ETL and Data architectures
- Working knowledge on Python, common Python libraries (e.g. Pandas, Numpy, Tensorflow) and DevOps tools (Git, Kubernetes)
- Working knowledge of cloud and distribute computing with one of the most famous cloud providers (Databricks)
- Knowledge of SQL and NoSQL Database
- Preferred: Proficiency with Apache Spark and Apache Kafka

QUALIFICATIONS

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- Bachelor’s in Computer Science, Computer Engineering or equivalent
- Solid communication skills and team-oriented mindset
- Fluency in English, both written and spoken
- Problem solving

Nexi Digital is a Joint Venture between Reply and Nexi Group, two international players devoted to innovation and technology. We are a young and dynamic company born in 2

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