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Ampstek

Big Data Engineer

Ampstek
Switzerland · Full-time · Mid-Senior

Experience

  • You have 5+ years of experience in building or designing large-scale, fault-tolerant, distributed systems
  • Integration of streaming and file-based data ingestion / consumption (Kafka, Control M, AWA)
  • Experience in DevOps, data pipeline development, and automation using Jenkins and Octopus (optional: Ansible, Chef, XL Release, and XL Deploy)
  • Experience predominately with on-prem Big Data architecture
  • Hands-on experience/knowledge in integrating Data Science Workbench platforms (e.g. Dataiku) is good-to-have.
  • Experience of agile project management and methods (e.g., Scrum, SAFe)
  • Supporting all analytical value streams from enterprise reporting (e.g. Tableau) to data science (incl. ML Ops)

Skills

  • In-depth knowledge and experience in one or more large scale distributed technologies including but not limited to: S3/Parquet, Kafka, Kubernetes, Spark
  • Expert in Python and Java or another static language like Scala/R, Linux/Unix scripting, Jinja templates, puppet scripts, firewall config rules setup
  • VM setup and scaling (pods), K8S scaling, managing Docker with Harbor, pushing Images through CI/CD

Key Skills

Ranked by relevance

kafka kubernetes firewall big data jenkins ansible tableau python docker devops puppet scrum java
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Posted
Jan 24, 2026
Type
Full-time
Level
Mid-Senior
Location
Zurich
Company
Ampstek

Industries

IT Services IT Consulting

Categories

Information Technology

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