Senior Data Operations Engineer

Senior Data Operations Engineer

Auburn Hills, MI (Locals only)

Contract roles

Senior Data Operations Engineer

Required Skills & Qualifications

• 8+ years of experience in data operations/production support roles.

• Proficiency in Python and Java for pipeline support and automation.

• Strong hands-on experience with AWS services, particularly AWS Glue (jobs, crawlers, catalogs), S3 (data lake table structures), and RDS databases.

• Working knowledge of GCP cloud platform.

• Deep experience with Cloudera Hadoop ecosystem: HDFS, Impala, and related components.

• Experience with Oracle databases and OLTP transactional systems.

• Hands-on experience with Apache Spark for distributed data processing.

• Strong understanding of ETL/ELT design, processing, and troubleshooting.

• Working knowledge of BI tools such as Tableau and Power BI, including report/dashboard troubleshooting.

• Familiarity with Tomcat application server administration.

• Strong understanding of Git version control, code review, and pull request workflows.

• Deep knowledge of ITIL framework (incident, change, problem management).

• Awareness of application security vulnerability management practices.

• Excellent troubleshooting, analytical, and communication skills.

• Ability to work in on-call rotation supporting production systems, including senior-level escalation ownership.

Preferred Qualifications

• Prior experience supporting automotive or manufacturing domain applications.

• Experience acting as a release/gate reviewer in a CI/CD environment.

• Certifications in AWS, GCP, or Cloudera,.

• Familiarity with DevSecOps practices is a plus, including containers (Docker), OpenShift environments, Infrastructure as Code with Terraform, SaaS product management, and CI/CD security integration with automated vulnerability scanning and secrets management.

• Understanding of authentication and identity management platforms such as Microsoft Entra ID and IBM Security Access Manager (ISAM) is a plus.