Big Data Engineer

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.

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Design and maintain scalable data architectures and pipelines across cloud and on-premises environments.

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Integrate diverse data sources and ensure processing is reliable and reproducible.

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Test and monitor distributed pipelines and estimate performance and costs for different use cases.

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Collaborate with data scientists to prepare datasets for machine learning and build dashboards that make processed data accessible to users.

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Degree in computer science, mathematics or a related field.

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Several years of experience in technical roles, with strong Python and SQL skills and a focus on maintainable software.

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Sound knowledge of big data infrastructure, scalable databases and distributed processing.

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Good understanding of public cloud services such as AWS, Azure or Google Cloud.

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Experience with or interest in tools such as Spark, Hadoop, Hive, Airflow or Kubernetes, and familiarity with relational or NoSQL databases and DevOps practices.

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Fluent German and English.

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