Job
- Level
- Experienced
- Job Field
- Software, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Neu-Isenburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop a Big Data Analytics platform, including data solutions and machine learning models, while working with modern technologies and agile methods in a team.
Job Technologies
Your role in the team
- Design, development, and operation of a proprietary Big Data Analytics platform.
- Design and development of Big Data & Data Analytics solutions for clients.
- Development and quality assurance of software components.
- Development of Big Data and IT infrastructure in projects.
- Development of Data Mining and Machine Learning models.
- 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
- You are characterized by a systematic, structured approach and way of thinking.
- You have expertise in some (but not all) of these areas: Java/Java Enterprise, REST, XML, Web Services, Spring, Databases: SQL, NoSQL, Architecture: Multi-Tier, Microservices, Lambda, Design Patterns, Python, Jupyter, Unix Shell, basic knowledge or interest in Big Data & Cloud, Issue Tracking (JIRA), Git, Maven.
- Very good German skills & good English skills.
Experience
- You have experience working in an international team.
- Motivation and experience in an agile environment: Scrum/Kanban.
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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
Data Engineer / Software Developer
- Location
- Neu-Isenburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
