Platform Engineer
Core
Build, maintain, and optimize enterprise data and analytics platforms (Cloudera, Elastic Stack, Dataiku) to support data engineers, scientists, and business stakeholders.
Role type
Senior Platform Engineer (Data & Analytics Infrastructure)
Builds
Data pipelines, real-time streaming solutions, Kibana dashboards, and ML model deployment environments
Domain
Enterprise Data & Analytics / Big Data Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Cloudera, Elastic Stack, Dataiku DSS, Hadoop ecosystem (HDFS, YARN, Hive, Spark, Kafka), Python, Scala, REST APIs, CI/CD, Infrastructure as Code
Preferred skills
Machine learning deployment, Apache NiFi, Terraform, Ansible, Puppet, Agile/DevOps practices
Technologies
Cloudera, Elastic Stack, Dataiku, Apache Kafka, Apache NiFi, Logstash, Kibana, Ansible, Terraform, GitHub Actions, Jenkins
Responsibilities
Support and optimize Cloudera, Elastic Stack, and Dataiku platforms; Design and develop data pipelines and streaming solutions; Automate ETL and platform deployments; Troubleshoot platform and integration issues; Create reusable scripts and technical documentation.
Seniority
Senior, hands-on IC
