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Senior Data Engineer - SEM

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Avis soumis
Senior Data Engineer - SEM
Descriptif

We are currently looking on behalf of one of our important clients for a Senior Data Engineer. This role is permanent
position based in Zürich or Fribourg Canton depending on candidate preference.

Your Role:

- Design, implement & document data pipelines.
- Provision data for analytics roles (data analyst, data scientist) from the source systems using ETL in suitable
storage technologies for a wide variety of application purposes (e.g. statistical analyzes, dashboards, etc.).
- Provision data for machine learning (data scientist, machine learning engineer) from the source systems using ELT in
suitable storage technologies for various applications (e.g. models, etc.).
- Design, further develop & implement ETL processes (DWH backend tasks) & ELT processes (ML Platform) according to the
architecture definition.
- Structure CI / CD for data pipelines & ensuring monitoring & quality assurance within the responsible processes.
- Concept, implement & operate data analytics platforms based on modern technologies (e.g. cloud solutions, Docker,
micro-services).
- Develop, execute & scale data pipelines on cluster architectures.
- Create productive code & its quality assurance through software tests & code review implementations.
- Carry out data modelling (ETL) & data cleansing.
- Select suitable technologies for the implementation of data analytics & machine learning use cases.

Your Skills:

- Several years of professional experience as a Data Engineer.
- Sound Project experience in the implementation of Data Products & Data Projects.
- Very good knowledge of at least one of the following programming languages: C #, Python, Java, Scala.
- In-depth specialist knowledge of DWH & BI technologies & methodologies & their application.
- Experienced with relational databases, data models, ETL processes & some understanding of distributed systems.
- Strong skills in handling data from source systems & databases (SQL, DAX / MDX).
- Experienced in dealing with at least one of the following cloud platforms: Azure, AWS, Google Cloud.
- Very good knowledge of relational & multidimensional databases (SQL & NoSQL) & ObjectStore.
- Practical experience with Apache Spark, Git & container technologies such as Kubernetes, Docker
- You have Practical experience in agile methods (e.g. Scrum, Kanban)
- Any knowledge of gRPC & REST is considered advantageous.

Your Profile:

- Completed University Degree in Business Informatics, Computer Science or similar.
- Self-driven, entrepreneurial, analytical, structured & solution & customer-oriented.
- Fluent English (spoken & written), German is considered a big plus.

If you wish to apply, please send us your resume in Word format with some references.

You can also register on our website which will allow you to receive other exclusive and confidential job offers.

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