Senior Data Operations Engineer

NTT DATA, Inc.; Auburn Hills (MI); Hybrid; USD 110,000 - 160,000; Full time

Job summary

NTT DATA seeks a Senior Data Operations Engineer in Auburn Hills, MI, to own and maintain data pipelines and infrastructure. The role emphasizes incident management, performance tuning, and end-to-end ETL/ELT operations across AWS Glue, S3, RDS, and Cloudera ecosystems.

The candidate will troubleshoot Spark jobs, manage BI tools, and collaborate with security and IT teams in a hybrid on-site environment. 8+ years of hands-on experience required.

Qualifications

• 8+ years in data operations/production support.
• Proficient in Python and Java for pipeline support and automation.
• Strong hands-on experience with AWS services (Glue, S3, RDS).
• Knowledge of GCP cloud platform.
• Deep experience with Cloudera Hadoop ecosystem (HDFS, Impala).
• 5+ years with Oracle databases and OLTP systems.
• 3+ years with Apache Spark for distributed data processing.
• Experience with ETL/ELT design and troubleshooting.
• Familiarity with BI tools (Tableau, Power BI).
• Knowledge of Tomcat server administration.
• Strong Git version control and PR workflows.
• ITIL incident/change/problem management expertise.
• Awareness of application security vulnerability practices.
• Excellent troubleshooting and communication skills.
• Ability to work in on-call rotation for production systems.

Responsibilities

• Monitor and support batch job execution across data pipelines; resolve failures proactively.
• Participate in on-call rotation; respond to production incidents promptly.
• Own incident/change/problem management processes per ITIL.
• Monitor ticket queues and meet SLAs; manage administration of data platforms.
• Develop, troubleshoot, and optimize Python and Java code for batch operations.
• Identify performance bottlenecks; optimize code and queries.
• Support ETL/ELT pipelines end-to-end including data extraction, transformation, loading.
• Manage AWS Glue jobs, crawlers, and workflows for orchestration.
• Support data storage and DB layers (S3, RDS); perform query tuning.
• Support Oracle OLTP systems and perform troubleshooting.
• Administer Cloudera Hadoop components (HDFS, Impala).
• Work with Apache Spark for large-scale processing and tuning.
• Maintain BI tooling (Tableau, Power BI) for reporting needs.
• Ensure code reviews and gating before production releases.

Skills

Python

Java

AWS

GCP

Cloudera Hadoop

Oracle databases

Apache Spark

ETL/ELT

Tableau/Power BI

Tomcat

Git

ITIL

Security best practices

On-call support

Tools

AWS Glue

S3

RDS

HDFS

Impala

Oracle OLTP

Apache Spark

Tableau

Power BI

Tomcat

Job description

Senior Data Operations Engineer

Job ID: 26-02458. 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.

We are currently seeking a Senior Data Operations Engineer to join our team in Auburn Hills, Michigan (US-MI), United States (US).

Job Description

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.

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 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.

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.

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

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