Job Opportunities in Hungary


May 23, 2022

ZEISS Group

Miskolc

OTHER


Data DevOps Engineer

Your role
  • building highly scalable data products for the automated consolidation, process and analyse large amounts of data for machine learning - from conception to prototyping to operation, batch and streaming
  • evaluating the latest trends and technologies, help shaping our architecture decisions including Dev Ops / Data Ops processes and drive innovative solutions for data management in the machine learning context
  • contribute to ensuring continuous quality, reusability and performance improvement and take responsibility for applications and stakeholders during development, commissioning and operation
  • automating and deploying data transformations and pipelines on the provided Data Platform
  • working in an accurate (clean-code) and test-driven software development environment with a devops mindset
  • in close cooperation with data scientists, you implement exciting AI use cases (e.g. entity extraction, recommender, chatbots) with data of all kinds (e.g. time series, images, documents)
Your profile
  • At least 3 years of relevant professional experience as a Dev Ops engineer with strong inclination to data engineering
  • Setup, configuration and automated deployment of Infrastructure Artifacts, with tools like Jenkins, Puppet or Terrraform
  • Configuration and deployment of CI/CD Pipelines using Git or similar tools
  • Experience with Cloud technologies like Microsoft Azure or similar environment
  • Strong knowledge of of serverless (Azure Data Factory, Synapse Analytics) or container based (Kubernetes) application provisioning and deployment
  • Strong experience in setup of network configuration, service communication and integration patterns (JDBC/ODBC, OData, Rest APIs)
  • Monitoring and logging (preferably Elastic, Datadog), telemetry systems
  • Deep understanding of resource management and optimization (CPU, RAM, Disk)
  • Agile software development using Scrum / Kanban

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