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Senior Data Operations Engineer
NTT DATA
- 🇺🇸 United States
- Hybrid
- Senior
- 1 day ago
- Incident Management
- ITIL
- Tomcat
- Python
- Java
- ETL
- ELT
- AWS Glue
- RDS
- Oracle
- Hadoop
- Apache Spark
- Tableau
- Power BI
- Git
- AWS
- GCP
- Vulnerability Management
- CI/CD
- DevSecOps
- Docker
- OpenShift
- IaC
- Terraform
- Secrets Management
- Identity Management
- AI
1 day ago
Hybrid/Onsite in Auburn Hills, MI
3+ Months Duration
Temp W2 Only - No C2C
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Data Operations Engineer to join our team in Auburn Hills, Michigan (US-MI), United States (US).
Job Description:
Senior Data Operations Engineer
Reports To: Data Operations Manager
Location: Hybrid (Auburn Hills)
Experience Level: Senior (8+ years of operational support experience)
Position Summary
We are seeking a Senior Data Operations Engineer with 8+ years of hands-on operational support experience to own and maintain batch jobs on our data engineering pipelines. This role owns operational stability of data platforms supporting Volkswagen domains and applications, ensuring reliable delivery, rapid incident resolution, and continuous performance improvement across the data ecosystem.
Key Responsibilities
- Operations & Support
- Monitor and support batch job execution across data engineering pipelines; proactively identify and resolve failures before they impact business operations.
- Participate in on-call rotation schedules, providing timely response to production incidents.
- Own and drive incident management, change ticket, and problem management processes following ITIL best practices.
- Proactively monitor ticket queues and address assigned items immediately, ensuring SLAs are met.
- Support administration activities across data platforms, including Tomcat application servers and related infrastructure.
- Technical Ownership
- Develop, troubleshoot, and optimize Python and Java code supporting batch and pipeline operations.
- Identify and resolve performance bottlenecks; implement code and query optimizations for operational efficiency.
- Support and maintain ETL/ELT data pipelines with deep understanding of data extraction, transformation, loading, and processing patterns end to end.
- Manage and troubleshoot AWS Glue jobs, crawlers, and workflows supporting pipeline orchestration.
- Support data storage and database layers including S3 (data lake tables), RDS databases, and query/performance tuning.
- Support Oracle databases and OLTP systems, including query tuning and operational troubleshooting.
- Administer and support Cloudera Hadoop ecosystem components including HDFS and Impala for distributed data storage and querying.
- Work with Apache Spark for large-scale batch and distributed data processing troubleshooting and tuning.
- Maintain and support BI tools, including Tableau and Power BI, for downstream reporting and analytics consumers.
- Manage code libraries and dependencies, ensuring version currency and compatibility.
- Governance, Quality & Security
- Serve as gate reviewer for code being promoted to production, validating operational readiness and adherence to standards before release.
- Ensure developers complete required operational validations (testing, documentation, rollback plans) prior to deployment.
- Work within Git repositories, review pull requests, and enforce branching/merge standards for operational code changes.
- Identify, track, and remediate security vulnerabilities in a timely manner in coordination with security teams.
- Support end-to-end product lifecycle management, including deprecation, upgrades, and decommissioning of applications and pipelines.
- Domain & Business Knowledge
- Develop deep understanding of Volkswagen domain applications and business processes to inform troubleshooting and support decisions.
- Partner with business and SME stakeholders to translate operational issues into actionable fixes.
- 8+ years of experience in data operations/production support roles.
- Proficiency in Python and Java for pipeline support and automation.
- Strong hands-on experience of 5+ years 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 of 3+ years with Cloudera Hadoop ecosystem: HDFS, Impala, and related components.
- 5+ years of Experience with Oracle databases and OLTP transactional systems.
- 3+ years of 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.
- 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.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Senior Data Operations Engineer · NTT DATA