May 23, 2022

Miskolc

OTHER

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