Platform Engineer

h3strongCloudera, Elastic Stack Dataiku /strong /h3h3strongPosition Overview /strong /h3pWe are looking for an experienced strongPlatform Engineer /strong to support, maintain and further develop our Cloudera, Elastic Stack and Dataiku platform environment. /ppThe role combines platform operations, solution development, automation and user support. You will work closely with data engineers, data scientists, analysts and business stakeholders to deliver stable, scalable and efficient data and analytics solutions. /ph3strongbrKey Responsibilities /strong /h3ulliSupport, maintain and optimise Cloudera, Elastic Stack and Dataiku platforms /liliDesign and develop data pipelines, workflows, dashboards and platform integrations /liliBuild and support real-time streaming solutions using Apache Kafka /liliDevelop custom scripts, plugins and integrations using Python, Scala and REST APIs /liliDesign and automate ETL and data ingestion processes using tools such as Apache NiFi and Logstash /liliCreate Kibana dashboards, reports, queries and search solutions /liliSupport the deployment and operationalisation of machine learning models in Dataiku /liliAutomate platform deployments and operations using Ansible, Terraform or similar tools /liliImplement CI/CD pipelines using GitHub Actions, Jenkins or comparable technologies /liliTroubleshoot platform, workflow and integration issues /liliCreate reusable scripts, templates, libraries and technical documentation /liliProvide guidance, training and platform support to users and internal teams /liliSupport occasional weekend or public holiday activities related to system changes or testing /li /ulpstrongRequirements /strong /ph3strongRequired Skills and Experience /strong /h3ulliStrong experience with at least two of the following platforms: /liulliCloudera /liliElastic Stack /liliDataiku DSS /li /ulliGood knowledge of Hadoop ecosystem technologies such as HDFS, YARN, Hive, Spark and Kafka /liliExperience with Elasticsearch, Logstash, Kibana and Beats /liliExperience designing data pipelines, ETL processes and streaming solutions /liliProgramming or scripting experience with Python and/or Scala /liliExperience integrating platforms and external systems through REST APIs /liliGood knowledge of GitHub, branching strategies, pull requests and code reviews /liliExperience with CI/CD, infrastructure automation and deployment processes /liliUnderstanding of clean code, secure coding and documentation standards /liliStrong troubleshooting, analytical and communication skills /liliAbility to translate business requirements into practical technical solutions /liliProfessional English skills /li /ulh3strongbrPreferred Qualifications /strong /h3ulliExperience with machine learning deployment and data science platforms /liliKnowledge of Apache NiFi, Terraform, Ansible or Puppet /liliExperience working in enterprise-scale data and analytics environments /liliFamiliarity with agile and DevOps working practices /li /ul h3strongGeneral Information /strong /h3ullistrongWorkload: /strong 100% /lilistrongStart Date: /strong As soon as possible /lilistrongLocation: /strong Flexible, with availability during Swiss working hours /li /ulh3strongbrExpected Outcomes /strong /h3ulliStable and well-maintained platform environments /liliReliable delivery of data pipelines, dashboards and analytics solutions /liliAutomated and optimised platform operations /liliEffective user support and knowledge transfer /liliClear, reusable and up-to-date technical documentation /li /ul