Job
- Level
- Experienced
- Job Field
- IT, System, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Neu-Isenburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop Big Data solutions and modern cloud infrastructures, analyze technical requirements, and work closely with architects and data engineers.
Job Technologies
Your role in the team
- Build and operate a proprietary Big Data Analytics platform.
- Build and operate Big Data & Data Analytics solutions at clients.
- Build and operation of modern cloud solutions.
- Analysis of technical requirements and development processes.
- Communication with architects and data engineers.
- Development of Big Data and IT infrastructure in projects.
- Development of innovative approaches in the field of Data and Software Engineering.
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Our expectations of you
Education
- A completed degree in one of the STEM subjects.
Qualifications
- A systematic and structured approach and mindset characterize you.
- You have expertise in some (but not all) of these areas: Unix Shell, Unix Processes, Python, Java, scripting languages, Docker, Kubernetes, container & orchestration architecture, CI/CD: Jenkins, GitLab, issue tracking (JIRA), Git, Maven, basic knowledge or interest in cloud & big data: AWS, Cloudera, Hortonworks, Elasticsearch, Kafka, Spark.
- Very good German skills & good English skills.
Experience
- You have experience working in an international team.
- At least two years of professional experience as a DevOps.
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Topics that you deal with on the job
Job Locations
This is your employer
ADEAL Systems
ADEAL Systems GmbH is an established company providing innovative solutions in the field of Big Data, Cloud, and AI. It supports companies in the technical implementation of data analytics projects to increase revenue and customer loyalty.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
DevOps Engineer
- Location
- Neu-Isenburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
