Quick Overview
Job Description
Job Title :Senior Data Operations Engineer
Location: Auburn Hills, MI (Onsite)
Client : Coforge
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 Google Cloud Platform 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, Google Cloud Platform, 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.
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