4 meilleures offres (devops/system engineer) (à pourvoir)

Platform Engineer
Avacone —Bâle, BS
- Travail le week-end
- Travail hybride
- Anglais
- Esprit d'analyse
- Scripting
Postuler rapidement
il y a 1 jour
Data Engineer
PICTET —Genève, GE
- Anglais
- Niveau Master
- SQL
il y a 2 jours
L2 Solutions Engineer
Sword Services —Genève, GE
- 100%
- Anglais
- Niveau Master
- Niveau Licence
Postuler rapidement
Big Data Test Manager - Enterprise Data Lakehouse
EPAM Systems, Inc. —Zürich, ZH
- Informatique
- Gestion du personnel
- Anglais
- Congé parental payé
- Caisse de pension
1 h

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Platform Engineer

Avacone
Bâle, BS

Postuler rapidement

Détails de l'emploi

Il y a 1 jour

Qualifications

CI/CD
Spark
Anglais
Apache Hive
Esprit d'analyse
Terraform
Scripting
GitHub
Puppet
Compétences en communication
Python

Description complète du poste

Cloudera, Elastic Stack & DataikuPosition Overview

We are looking for an experienced Platform Engineer to support, maintain and further develop our Cloudera, Elastic Stack and Dataiku platform environment.

The 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.

Key Responsibilities

Support, maintain and optimise Cloudera, Elastic Stack and Dataiku platforms
Design and develop data pipelines, workflows, dashboards and platform integrations
Build and support real-time streaming solutions using Apache Kafka
Develop custom scripts, plugins and integrations using Python, Scala and REST APIs
Design and automate ETL and data ingestion processes using tools such as Apache NiFi and Logstash
Create Kibana dashboards, reports, queries and search solutions
Support the deployment and operationalisation of machine learning models in Dataiku
Automate platform deployments and operations using Ansible, Terraform or similar tools
Implement CI/CD pipelines using GitHub Actions, Jenkins or comparable technologies
Troubleshoot platform, workflow and integration issues
Create reusable scripts, templates, libraries and technical documentation
Provide guidance, training and platform support to users and internal teams
Support occasional weekend or public holiday activities related to system changes or testing

Requirements

Required Skills and Experience

Strong experience with at least two of the following platforms:
- Cloudera
- Elastic Stack
- Dataiku DSS
Good knowledge of Hadoop ecosystem technologies such as HDFS, YARN, Hive, Spark and Kafka
Experience with Elasticsearch, Logstash, Kibana and Beats
Experience designing data pipelines, ETL processes and streaming solutions
Programming or scripting experience with Python and/or Scala
Experience integrating platforms and external systems through REST APIs
Good knowledge of GitHub, branching strategies, pull requests and code reviews
Experience with CI/CD, infrastructure automation and deployment processes
Understanding of clean code, secure coding and documentation standards
Strong troubleshooting, analytical and communication skills
Ability to translate business requirements into practical technical solutions
Professional English skills

Preferred Qualifications

Experience with machine learning deployment and data science platforms
Knowledge of Apache NiFi, Terraform, Ansible or Puppet
Experience working in enterprise-scale data and analytics environments
Familiarity with agile and DevOps working practices

General Information

Workload: 100%
Start Date: As soon as possible
Location: Flexible, with availability during Swiss working hours

Expected Outcomes

Stable and well-maintained platform environments
Reliable delivery of data pipelines, dashboards and analytics solutions
Automated and optimised platform operations
Effective user support and knowledge transfer
Clear, reusable and up-to-date technical documentation

Postuler rapidement

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devops/system engineer emplois

Platform Engineer

Data Engineer

L2 Solutions Engineer

Big Data Test Manager - Enterprise Data Lakehouse

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