About the role
For one of our clients, we are looking for a Senior Data Engineer to design data architectures and build distributed pipelines across cloud and on-premises environments. Your work will make data ready for operational use, analytics and machine learning.
Design and maintain scalable data architectures and pipelines across cloud and on-premises environments.
Integrate diverse data sources and ensure processing is reliable and reproducible.
Test and monitor distributed pipelines and estimate performance and costs for different use cases.
Collaborate with data scientists to prepare datasets for machine learning and build dashboards that make processed data accessible to users.
Degree in computer science, mathematics or a related field.
Several years of experience in technical roles, with strong Python and SQL skills and a focus on maintainable software.
Sound knowledge of big data infrastructure, scalable databases and distributed processing.
Good understanding of public cloud services such as AWS, Azure or Google Cloud.
Experience with or interest in tools such as Spark, Hadoop, Hive, Airflow or Kubernetes, and familiarity with relational or NoSQL databases and DevOps practices.
Fluent German and English.
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Design and maintain scalable data architectures and pipelines across cloud and on-premises environments.
Integrate diverse data sources and ensure processing is reliable and reproducible.
Test and monitor distributed pipelines and estimate performance and costs for different use cases.
Collaborate with data scientists to prepare datasets for machine learning and build dashboards that make processed data accessible to users.
Degree in computer science, mathematics or a related field.
Several years of experience in technical roles, with strong Python and SQL skills and a focus on maintainable software.
Sound knowledge of big data infrastructure, scalable databases and distributed processing.
Good understanding of public cloud services such as AWS, Azure or Google Cloud.
Experience with or interest in tools such as Spark, Hadoop, Hive, Airflow or Kubernetes, and familiarity with relational or NoSQL databases and DevOps practices.
Fluent German and English.
Find Jobs in Switzerland on Arbeitnow
Requirements
- Data Processing
- Data Engineer