Data Support Engineer
Angajator: | Randstad Romania SRL |
Domeniu: |
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Tip job: | full-time |
Nivel job: | Student/Absolvent |
Orase: |
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Actualizat la: | 26.01.2021 |
Randstad is specialized in solutions in the field of flexible work and human resources services. Our services range from regular temporary staffing and permanent placements to in-house, professionals, search & selection, and HR Solutions.
The Randstad Group is one of the leading HR services providers in the world, with top-three positions in Argentina, Belgium & Luxembourg, Canada, Chile, France, Germany, Greece, India, Mexico, the Netherlands, Poland, Portugal, Spain, Switzerland, the UK, and the United States as well as major positions in Australia and Japan.
In 2015, Randstad had approximately 29,750 corporate employees and around 4,473 branches and in-house locations in 39 countries around the world. Randstad generated revenue of € 19.2 billion in 2015. Randstad was founded in 1960 and is headquartered in Diemen, the Netherlands.
What we need from you:
Hands-on experience, industry agnostic
Intermediate data querying skills (SQL)
ETL concepts knowledge, tool agnostic
Database administration concepts
System architecture concepts
Ability to work in shifts - daytime only
Willingness to learn
Fluent English
Extra:
Experience in working with Tableau Software
Experience in working with Vertica
Experience in working with Talend Data Integration
What you are going to do:
Perform monitoring tasks to ensure service availability
Take action on specific system in case of service/system/function failure
Alert Level 2 and stakeholders of any service interruption based on the communication matrix
Resolve Level 1 issues related to connectivity / data integration / database availability / etc
Perform basic database administration tasks
Perform basic Tableau Server administration tasks
Participate in knowledge transfer sessions for new implementations
Update system documentation for new implementations
Basic ETL jobs creation
Why you will love working with us:
You will work with the best-in-class Big Data solutions in the world
You will work with best-in-class, gold standard data visualisation tools
You will have the opportunity to work in a cross-industry domain
Flexible working hours
Healthcare package
Knowledge sharing culture
Competitive salary
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