Senior Java Big Data Engineer — AWS Data Pipelines & APIs

Intela Group USA; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Intela Group USA seeks a Senior Java Big Data Developer to design, develop, and optimize scalable data processing solutions in an AWS-based environment. You will build high-performance data pipelines, cloud-native services, and distributed systems to support enterprise analytics and BI initiatives.

Responsibilities include building ETL pipelines, APIs, and backend services, implementing automated tests, and ensuring reliability and performance through scalable architecture and CI/CD practices.

Qualifications

• 5 years of professional Java development experience.
• 3 years of big data or distributed data processing in AWS environments.
• 3 years of RESTful API development and testing.
• Strong understanding of scalable backend design and cloud-native architectures.

Responsibilities

• Analyze complex requirements and translate into scalable Java data solutions.
• Design and maintain ETL/data pipelines leveraging AWS and serverless tech.
• Build scalable APIs and backend services for data ingestion and distribution.
• Implement unit, functional, and performance testing strategies.
• Architect and optimize data pipeline infrastructure for reliability and performance.
• Participate in code reviews to ensure engineering best practices.
• Support CI/CD processes and automated deployment workflows.
• Provide production support, troubleshooting, and system maintenance.
• Collaborate with engineering, analytics, and operations teams.

Skills

Java development

Big data

REST APIs

Cloud-native architectures

ETL pipelines

Tools

PostgreSQL

Maven

Gradle

JUnit

Mockito

Playwright

Gatling

AWS

Job description

Intela Group USA seeks a Senior Java Big Data Developer to design, develop, and optimize scalable data processing solutions in an AWS-based environment. You will build high-performance data pipelines, cloud-native services, and distributed systems to support enterprise analytics and BI initiatives.

Responsibilities include building ETL pipelines, APIs, and backend services, implementing automated tests, and ensuring reliability and performance through scalable architecture and CI/CD practices.