Junior 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.

- Basic knowledge with 1 or 2 years of experience on Hadoop environment (Hive, Oozie, HDFS, Knox etc.)
- A specific training and support will be given by the company on the Data Lake Loader tool
- Knowledge and experience of Agile methods and JIRA
- Knowledge and practice of Git, ideally Gitlabee
- Certification as Data Engineer on GCP will be required
- English speaking
- Previous experience in Supply Chain will be appreciated.

Data Lake activities:
- Ingestion of “raw” data from Information systems to Data Lake
- Transformation of raw data to “gold” data into the Data Lake
- Maintenance of ingestions and transformations in production
- Provide GUI application to manage some ingestion and transformation processes
Support activities:
- Support to business on framing, build solutions
- Maintenance of Supply Chain universes
- Maintenance of 40 tools Excel/VBA
- Monitoring scheduled treatments, and raise incident when needed
- Analyze cause of incidents
- Fix incidents or escalate to Data Lake Platform team if the root cause is in their scope
- All activities include part of documentation, analysis, and tests.

The data engineer will join a team of 6 persons and will manage most of the activity around the data for the Supply Chain department of the company.
Most of the ingestion & transformation activities is managed with a homemade framework - “DLL” (Data Lake Loader).
Part of transformation is developed in Scala/Spark or Python, embedded in a DLL structure to support CI/CD.