Description

You will design, develop, and maintain scalable data engineering solutions and platform infrastructure.

This role is on-site.

Responsibilities

• Design and maintain ETL/ELT pipelines for batch and real-time data ingestion.
• Deploy and manage data workloads on Red Hat OpenShift, including manifests and templates.
• Implement infrastructure-as-code using Terraform and Ansible in hybrid/multi-cloud environments.
• Build CI/CD pipelines for data services, automating testing and deployment.

Required Skills

• 8+ years of experience as a Data Engineer or Platform Engineer.
• Bachelor's degree in Computer Science, Data Engineering, or related field.
• Strong experience deploying applications on OpenShift/Kubernetes.
• Proficiency with Python and SQL.
• Expertise with big data technologies including Spark, Kafka, and Hive.
• Deep understanding of containers (Docker/Podman) and microservices architecture.
• Experience with CI/CD, Git, and automation tooling.
• Familiarity with cloud platforms such as AWS and Azure.
• Experience with monitoring stacks like Prometheus, Grafana, and EFK Stack.

Key Skills

Education

Bachelor's degree