Data Engineer

This role is responsible for the deployment, production support, and ongoing maintenance of website platforms and cloud-based infrastructure. It combines system administration, cloud operations, and automation engineering with deep experience in data engineering and programming—especially in Big Data technologies. Job Responsibilities: Manage and maintain cloud infrastructure and CI/CD pipelines. Administer production systems including monitoring, patching, and tuning. Troubleshoot platform issues in collaboration with cross-functional teams. Ensure system availability, performance, and reliability. Automate infrastructure provisioning and configuration. Support data engineering pipelines and integrate with Big Data ecosystems. Lead and support platform upgrades and migrations. Required Skills: 7+ years in DevOps, system administration, or cloud engineering. 5+ years of experience in Data Engineering. 5+ years programming in Java. Strong SQL skills for querying and data manipulation. Proficient in Big Data ecosystem: Apache Spark and Scala Apache Hive (primary data warehouse) Hands-on experience with AWS cloud services. Familiarity with DevOps tools including: Jenkins, Terraform CI/CD automation and orchestration Preferred Skills: Experience in recently migrated AWS environments. Strong understanding of infrastructure as code and container orchestration. Ability to work cross-functionally and adapt to dynamic technical environments. Certifications: [AWS, Kubernetes, or Big Data certifications are a plus – confirm if required] Education: Bachelor’s degree in computer science, Engineering, or a related field. #J-18808-Ljbffr Compunnel, Inc.