Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Cologne, Hanover
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative data analytics solutions using modern technologies and create ETL pipelines for complex datasets on cloud platforms focusing on machine learning and big data.
Job Technologies
Your role in the team
- Development of innovative platforms and technologies, particularly in the areas of Data Analytics, Machine Learning, and Artificial Intelligence.
- Development of recommendation engines, web and text data mining using Natural Language Understanding models, application of algorithms and tools for network and graph analysis, deep neural network learning.
- End-to-End design and implementation of data analytics systems; this includes data collection, requirements engineering and specification, as well as the design of technical solutions based on business requirements.
- Development of ETL pipelines for large complex datasets and processing of structured and unstructured data with Spark, Hive, Kafka, Flume, Oozie, etc.
- Prototyping and implementation of massively scaled data analytics solutions based on Big Data tools (Hadoop, Spark, HIVE / Impala, SQL, H2O, Python, and R).
- Working with cloud platforms (Amazon Web Services, Microsoft Azure, or Google Cloud Platform).
- Development of event streaming solutions in a container-based environment.
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Our expectations of you
Education
- University degree in Computer Science, Information Systems, or an equivalent qualification in Computer Science, Statistics, Operations Research, Bioinformatics, Mathematics, or Physics.
Qualifications
- Basic understanding of relational and non-relational databases.
- Understanding of automation on AWS or Azure using deployment tools and/or other continuous integration/configuration management tools (e.g., Ansible and Terraform).
- Solution-oriented approach and implementation of your solution for our clients.
- Proactivity, team spirit, strong communication skills, resilience, and an independent, analytical, and conceptual working style characterize you.
- The ability to explain complex technical structures and issues to clients or colleagues.
- Excellent command of both German and English, spoken and written.
- Mobility and flexibility to work on-site at the client's location are part of our job. We do our best to coordinate travel and on-site work or remote work from home in a way that suits you well.
Experience
- Experience with AWS or Azure technology and practical experience in programming with AWS or Azure APIs.
- Experience with one or more general-purpose programming languages, including but not limited to: Java, C / C++, Python, Scala, or JavaScript.
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Topics that you deal with on the job
Job Locations
This is your employer
Qimia
Wir sind ein junges und dynamisches Inhabergeführtes IT Unternehmen. Wir unterstützen unsere Kunden durch die Realisierung maßgeschneiderter IT-Lösungen und verbinden dabei Bereiche wie Big Data Analytics, Business Intelligence und Data Warehousing, Cloud Services, Hadoop und Spark, Software Entwicklung in Scala, Python, Java Full Stack Development, Data Migration und gleichzeitig Projekt- und Prozessmanagement.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Cloud Big Data Engineer / DevOps Engineer
- Location
- Cologne, Hanover
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
