Data engineer/Data scientist

Johnson & Johnson MedTech; Milano; In loco; EUR 35.000 - 50.000; Tempo pieno

Descrizione del lavoro

Un'azienda innovativa cerca un Data Engineer con oltre 1 anno di esperienza per unirsi alla sua squadra in un ambiente data-driven. Il candidato ideale lavorerà sull'industrializzazione di pipeline di dati e sulla creazione di algoritmi per analisi avanzate dei dati. È richiesta una solida conoscenza di Python e SQL, nonché esperienza con strumenti cloud come AWS o Azure. Lavorerai in un team internazionale e dinamico per modellare il futuro tecnologico dei pagamenti digitali.

Competenze

• 1+ anni di esperienza come Data Engineer.
• Esperienza dimostrata in Data pipelining / ETL e architetture dati.
• Conoscenza operativa di Python e librerie comuni.
• Esperienza con fornitori di cloud.
• Conoscenza di SQL e database NoSQL.
• Competenze nel Analytics Data Platform.

Mansioni

• Industrializzare pipeline di dati scalabili.
• Raccogliere dataset grezzi per sviluppare algoritmi.
• Identificare metodi di validazione dei dati e strumenti di analisi.
• Processare informazioni multi-strutturate su larga scala.

Conoscenze

Data pipelining / ETL

Python

SQL

NoSQL Database

Apache Spark

Cloud computing

Data analysis tools

Formazione

Bachelor's in Computer Science or Computer Engineering

Strumenti

Pandas

Numpy

Tensorflow

Git

Kubernetes

Descrizione del lavoro

4 giorni fa

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.

RESPONSIBILITIES

We are looking for an ambitious young professional who’s willing to join a data driven environment to:

• 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

• 1+ 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 (AWS, Azure)
• Knowledge of SQL and NoSQL Database
• Working knowledge of Analytics Data Platform (Databricks, Fabric)
• Proficiency with Apache Spark

QUALIFICATIONS

• 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 2022 with challenging and fascinating objectives, you will join a stimulating environment where to shape the technological future of Digital Payments!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology, Analyst, and Consulting

Financial Services, Software Development, and IT Services and IT Consulting

Referrals increase your chances of interviewing at Nexi Digital by 2x

We’re looking forward to receiving your application!