DATA ENGINEER (m/f/d)

Permanent position
Koblenz

We are looking for a Data Engineer to develop large scale web services and Data Analytics Solutions.

You will be part of a talented team building our innovative Data Analytics application. Your role will focus on designing and developing, performant, fault-tolerant and scalable distributed Data Analytics Solutions. You are highly motivated to research and integrate best fitting (Big) Data technologies into our existing solution to fulfill our customer requirements.

You have just finished your studies or you are a career changer and maybe don't have a lot of professional experience in all areas? Don't worry - we give young talents and career changers the chance to develop with us and gain their first professional experience as a data engineer!

 

Job responsibilities:

  • Design and develop conceptual data models for integrating, exploring and retrieving data from heterogeneous data sources and IT systems.
  • Enhance our existing solution platform by integration of cloud based Big Data platform and Analytics services and APIs (e.g. Microsoft Azure, Amazon AWS).
  • Communicate effectively with Product Management, Architects and Developers to understand customer requirements.

 

Required skills and experiences with:

  • General programming best practices
  • Programming with Python
  • Implement and manage ETL processes, data transformations, data flows and service APIs using Apache Airflow
  • Experience with Python Data tools e.g. pandas, dask, numpy, …
  • Experience with SQL and NoSQL Database platforms, e.g. SQL Server, PostgreSQL, MongoDB, InfluxDB, …
  • Systematic problem-solving approach, coupled with effective communication skills and a sense of drive
  • Fluent German and English language written and verbal


Additional preferable skills:

  • Experience with OLAP and MDX query language
  • Experience with Docker, Kubernetes and Helm
  • Experience with TypeScript and Angular
  • Background in Data Analytics / Business Intelligence / Data Integration
  • Experience with some cloud technologies, e.g. Microsoft Azure Databricks, Azure Time Series Insights, …

 

Are you interested in this job offer? Apply now!

Become part of SKYLYZE and send us your application documents including your salary expectation and your desired starting date in German or English to jobs@skylyze.com.

More information about us on www.skylyze.com.

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