Job
- Level
- Junior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Stuttgart, Karlsruhe, Munich, Cologne
- Working Model
- Onsite
Job Summary
In this role, you will develop data processing pipelines for batch and real-time processing, implement Azure Functions, create Data Factory pipelines, and optimize ETL processes using PySpark and SQL in a modern cloud environment.
Job Technologies
Your role in the team
- In an interdisciplinary project team, you will take on the role of implementing data processing pipelines in batch and real-time.
- As a Data Engineering expert, you are the point of contact for colleagues and clients in the project.
- With modern cloud-based technologies, you generate - supported by AI - innovative solutions around our products.
- Development of Azure Functions in .NET C# for real-time data transformation.
- Creation and maintenance of Azure Data Factory pipelines to automate data transfers.
- Development of Azure Databricks Notebooks, particularly for implementing ETL processes with PySpark — initial programming skills and a good understanding of data processing are required.
- Working with SQL, including conducting quality assurance, data analysis, and targeted performance optimizations on storage technologies such as Cosmos DB, Azure SQL DB, and Data Lake Storage.
- Optimization and fine-tuning of processes through detailed analyses, including Log Analytics.
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Our expectations of you
Qualifications
- Basic programming skills (ideally in C#, Python, and Pyspark).
- SQL skills for data analysis and quality assurance.
- Understanding of cloud architectures and data processing workflows.
- Interest in conceptual topics related to data modeling and ETL design.
- Willingness to develop further in technologies such as Databricks and Data Factory.
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Benefits
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Dymatrix
DYMATRIX ist einer der führenden deutschen Software- und Lösungsanbieter für kundenzentriertes und intelligentes Marketing. Wir sind Spezialisten im Bereich Big Data, Marketing Automation und Customer Analytics sowie Kampagnenmanagement und Business Intelligence.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Internet, IT, Telecommunication
Junior Cloud Data Engineer
- Location
- Hamburg, Stuttgart, Karlsruhe, Munich, Cologne
- Working Model
- Onsite
- Diversity
- Open for all genders
