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Java Engineer - Data Specialization at NTT DATA

Nashville, Tennessee, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Data Engineering, Kafka, PL/SQL, Data Pipelines, Data Integration, RESTful API Development, Data Warehousing, Real-Time Data Processing, GitHub, Jenkins, Technical Problem-Solving, Analytical Thinking, Collaboration, Client Engagement, Innovation

Industry

IT Services and IT Consulting

Description

Data Engineering: Design, develop, and maintain scalable data pipelines leveraging Kafka, PL/SQL, and Java. Build and manage multiple data pipelines to source, transform, and deliver data based on business requirements Implement reliable and efficient data workflows using Kafka and PL/SQL for data movement, streaming, and transformation. Work closely with financial services clients to design and implement modern data solutions that enhance business decision-making and operational efficiency. Manage multiple stakeholder groups and their evolving requirements. Partner with a client that is at the forefront of leveraging data to drive innovation in investment management and business optimization. Advanced proficiency in Java programming for data engineering. Strong experience in Kafka-based streaming and data movement. Expertise in PL/SQL and relational database systems. Hands-on experience in data integration and RESTful API development. Strong understanding of data warehousing and real-time data processing. Familiarity with GitHub for version control and Jenkins for CI/CD pipelines. Technical problem-solving and analytical thinking. Collaboration and cross-functional teamwork. Client engagement and communication skills. Innovation and continuous learning. Adaptability in dynamic technical environments. Bachelor's degree in Computer Science, Engineering, or a related field. 4+ years of experience in software and data engineering. Proven ability to build and manage data pipelines using Kafka, PL/SQL, and Java. Experience with financial data analysis, risk, and compliance data management. Strong understanding of real-time data warehousing and integration. Demonstrated ability to quickly learn and apply new technologies.

Responsibilities

Design, develop, and maintain scalable data pipelines leveraging Kafka, PL/SQL, and Java. Work closely with financial services clients to implement modern data solutions that enhance business decision-making and operational efficiency.