Big Data Engineer
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Employer: | Inetum Romania |
Domain: |
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Job type: | full-time |
Job level: | 1 - 5 years of experience |
Location: |
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Updated at: | 04.02.2021 |
Remote work: | On-site |
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.
• GIT, Hadoop, Spark, SQL
• Scala or Python, CI/CD pipelines
• Cloud technologies (role management, scalable clusters)
• Data exploration and visualization tools (notebooks, BI tools).
• Work closely with data analysts in order to build and validate the data model
• Develop the processing flows using a generic Spark ETL tool written in Scala
• Publish the lineage and metadata on the data catalog
• Document the technical steps taken
• Push for new approaches in order to increase the efficiency of the team
• Raise the knowledge level of the team by sharing key details about big data technologies and tools.
As a big data engineer, you are trusted with the implementation of data processing flows according to the standards set by your peers and the business requirements.
You keep in touch with multiple teams which raise various data requirements for their web applications or business intelligence tools. A part of your daily work has been already organized in a rigorous way, but the other can be cast by your hand according to dynamic needs.
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