Java Data Engineer

About the role

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 Java Data Engineer to join our team in Nashville, Tennessee (US-TN), United States (US).

Responsibilities

• Design, build, test, deploy, and support enterprise data pipelines that source, transform, and deliver data based on business and technical requirements.
• Develop Java-based data processing and integration components that connect Oracle databases, Kafka messaging, APIs, files, and enterprise applications.
• Develop and optimize complex PL/SQL queries, packages, procedures, functions, and other Oracle database components supporting data movement and transformation.
• Use Kafka to support event-driven data movement, messaging, streaming, and near-real-time processing.
• Apply relational database, data warehousing, logical and physical data modeling, and data integration practices to deliver reliable and reusable data solutions.
• Monitor, troubleshoot, and resolve pipeline, database, performance, and production-processing issues using tools such as Splunk.
• Use GitHub, Jenkins, uDeploy, Docker, and related engineering tools to support source control, continuous integration, deployment, and release management.
• Collaborate within a pod of four or more data engineers, contributing to solution design, code reviews, testing, deployment, production support, and shared delivery objectives.
• Partner with multiple client and stakeholder groups to understand requirements, communicate technical concepts, manage priorities, and deliver solutions in a consultative manner.
• Independently identify knowledge gaps, learn new technologies, and adapt existing engineering skills to evolving platforms, tools, and business needs.

Requirements

• Overall Experience: 7+ years of combined data engineering and software engineering experience.
• Java: 5+ years of experience developing Java-based data processing, pipeline, database integration, or messaging solutions.
• PL/SQL: 5+ years of experience developing complex PL/SQL queries, packages, procedures, functions, and database components.
• Oracle: 4+ years of experience developing or supporting enterprise data solutions using Oracle relational databases.
• SQL and Relational Databases: 4+ years of experience writing complex SQL and working with relational database platforms.
• Data Integration: 4+ years of experience integrating data across databases, APIs, files, enterprise applications, or messaging platforms.
• Data Pipelines: 4+ years of experience designing, building, testing, deploying, and supporting enterprise data pipelines.
• Kafka: 3+ years of hands-on experience using Kafka for messaging, streaming, or enterprise data movement.
• Data Warehousing and Modeling: 3+ years of experience applying data warehousing, logical or physical data modeling, and batch or real-time processing concepts.
• RESTful APIs: 3+ years of experience developing, integrating, or supporting RESTful APIs for data integration.
• Version Control and CI/CD: 3+ years of experience using GitHub, Jenkins, uDeploy, or comparable source control and continuous integration and deployment tools.