Senior Big Data & DevOps Engineer

VDart, Inc. Logo
VDart, Inc.
United States (Remote)
  • Engineering
  • Applications have closed

We are seeking a highly experienced Senior Big Data & DevOps Engineer to manage end-to-end data operations for enterprise-scale platforms. The ideal candidate will have 8 years of experience in Big Data technologies, ETL development, and DevOps automation, with hands-on expertise in HDFS, Hive, Impala, PySpark, Python, Jenkins, and uDeploy . This role is critical in ensuring the stability, scalability, and efficiency of data platforms while enabling smooth development-to-production workflows.

Required Qualifications

  • Bachelor s degree in Computer Science, IT, or related field.
  • 8 years of experience in Big Data engineering and DevOps practices.
  • Advanced proficiency in HDFS, Hive, Impala, PySpark, Python, and Linux.
  • Hands-on experience with CI/CD tools such as Jenkins and uDeploy.
  • Strong understanding of ETL development, orchestration, and performance optimization.
  • Experience with ServiceNow for incident/change/problem management.
  • Excellent analytical, troubleshooting, and communication skills.

Nice to Have

  • Exposure to cloud-based Big Data platforms (e.g., AWS EMR).
  • Familiarity with containerization (Docker, Kubernetes) and infrastructure automation tools (Ansible, Terraform).
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