Data Engineer

About Inetum, Positive digital flow:

Inetum is an IT services company that provides digital services and solutions and a global group that helps companies and institutions to get the most out of digital flow. The Inetum group is committed towards all these players to innovate, continue to adapt and stay ahead. With its multi-expert profile, Inetum offers its clients a unique combination of proximity, a sectorial organization and solutions of industrial quality. Operating in more than 26 countries, the Group has nearly 27,000 employees and in 2020 generated revenues of €1,965 billion.

Inetum Romania is an important player in the IT services and solutions market in our country, with over 15 years of activity. It is a stable, growing and profitable company with over 500 employees who provides IT consulting services, infrastructure and software development assistance, digital services implementation and support.

In an Agile format, our teams work on cloud initiatives, application development, business intelligence, automation and digitalization projects that contribute to the profit and evolution of our clients. The diversity of our projects offers team members the opportunity for learning and growth. The company had a turnover of 20 million EURO in 2021.

Mastery in SQL
Knowledge of Elastic Search
Expertise in the implementation of end-to-end data processing chains
Mastery of distributed development
Basic knowledge and interest in the development of ML algorithms
Knowledge of the ingestion framework
Knowledge of Spark and its different modules
Mastery of Scala and / or Python
Knowledge of the AWS or GCP ecosystem
Knowledge of the ecosystem of NOSQL databases
Knowledge in the construction of APIs of data products
Knowledge of Dataviz tools and libraries
Ability to debug Spark and distributed systems
Popularization of complex systems
Knowledge of algorithm complexity
Mastering the use of notebooks data
Expertise in data testing strategies
Strong problem solving, intelligence, initiative and ability to withstand pressure
Excellent interpersonal skills and a great sense of communication (ability to go into detail).

During project definition:

Design of data ingestion chains
Design of data preparation chains
Basic ML algorithm design
Data product design
Design of NOSQL data models
Design of data visualizations
Participation in the selection of services / solutions to be used according to the uses
Participation in the development of a data toolbox

During the iterative realization phase:

Implementation of data ingestion chains
Implementation of data preparation chains
Implementation of basic ML algorithms
Implementation of data visualizations
Using ML framework
Implementation of data products
Exposure of data products
Setting up NoSQL databases
Implementation in distributed mode of treatments
Use of functional languages
Debugging distributed processes and algorithms
Identification and cataloging of reusable elements
Contribution to the evolution of labor standards
Contribution and opinion on data processing problems

During integration and deployment:

Participation in problem solving.

Salary conditions:
Motivating package.
Remuneration: according to your professional experience. We offer a package including net and variable salary and medical insurance.