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PROSTAFF Schweiz GmbH

Data Engineer (Databricks, Snowflake)

PROSTAFF Schweiz GmbH Zurich, Zurich, Switzerland

Staffing and Recruiting · 201-500 employees

8 h ago
data-engineer Mid (2-5 yrs) Full-time Switzerland
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About the role

Design, develop, and monitor distributed data pipelines for batch and streaming workloads while integrating diverse data sources. Collaborate with architects and data scientists to deliver reusable data products and advise stakeholders on technical design decisions.

What they look for

Databricks Snowflake Python SQL Data Engineering Spark Delta Lake Airflow Kafka Kubernetes Terraform Data Pipelines Cloud Platforms Agile Development DevOps

Requirements

Requires a degree in computer science, software engineering, or data science with at least three years of professional experience. Candidates must possess practical skills in Python, SQL, and experience with cloud data platforms like Databricks or Snowflake.

Full description

For one of our clients, we are looking for an Advanced Data Engineer to build and maintain data pipelines and data products. You will work directly with clients to understand their needs and turn diverse data sources into reliable, reusable datasets.

  • Design, develop, test and monitor distributed data pipelines for batch and streaming workloads.
  • Integrate structured and unstructured data and produce reproducible datasets that meet the needs of data consumers.
  • Advise clients on technical options and explain design decisions to technical and business stakeholders.
  • Work with architects, software engineers and data scientists to deliver data products iteratively.
  • Degree in computer science, software engineering, data science or a comparable qualification.
  • At least three years of experience in data engineering or software engineering.
  • Practical Python and SQL skills and hands-on experience with relational and non-relational databases.
  • Experience building and maintaining data products, with knowledge of architectures such as data lakes, lakehouses and medallion architectures.
  • Experience with cloud data platforms such as Databricks, Snowflake, Microsoft Fabric or Amazon SageMaker.
  • Familiarity with large-scale data processing, data analysis and visualisation, as well as agile development and DevOps.
  • Hands-on experience with or interest in technologies such as Spark, Delta Lake, Airflow, Kafka, Kubernetes or Terraform.
  • Fluent German and English.

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