Java Developer with Hadoop
dpr solutionsDallas (TX)
Java Developer with Hadoop
Posted today
dpr solutionsDallas (TX)
SENIORITY
Senior
About the role
Job Description:
Must Have Technical/Functional Skills Primary Skill: Spring boot, Core java, Hadoop, pyspark, Hive Secondary: Kafka We are seeking a Java Developer with strong expertise in Java 10 and modern backend application development. The ideal candidate should have hands-on experience in building scalable microservices, REST APIs, and cloud-native applications. Exposure to Hadoop ecosystem technologies is required to support data-intensive applications and integrations, though this is not a core Hadoop development role. Must Have Skills " Java 10 /11 /17 " Spring Boot " Microservices Architecture " RESTful Web Services " Kafka " OpenShift / Kubernetes " Oracle SQL / PL-SQL " JUnit, Mockito " Git, Maven, CI/CD " Basic to Intermediate Hadoop ecosystem experience Roles & Responsibilities " Design, develop, and maintain enterprise applications using Java and Spring Boot. " Develop scalable Microservices and REST APIs. " Integrate applications with distributed data platforms and messaging systems. " Collaborate with cross-functional teams to deliver high-quality solutions. " Participate in code reviews, testing, deployment, and production support. " Optimize application performance and scalability. " Work in Agile/Scrum development environments. " Support data processing and integration workflows involving Hadoop-based platforms.
Required:
Technical Skills " Strong hands-on experience with Java, Spring Boot, and Microservices. " Experience developing RESTful APIs and backend services. " Knowledge of Kafka and event-driven architecture. " Experience with OpenShift, Docker, or Kubernetes. " Good understanding of relational databases such as Oracle or SQL Server. " Familiarity with CI/CD pipelines using Jenkins, GitLab, or similar tools. " Understanding of software design patterns and secure coding practices. Hadoop Experience (Good to Have / Secondary Skill) Candidate should possess working knowledge of: " Hadoop ecosystem concepts (HDFS, YARN, Hive) " Basic Hive query development and troubleshooting " Understanding of data ingestion and batch processing workflows " Experience working with Hadoop-based data platforms in support of application development " Exposure to Spark is a plus Note: Hadoop is a secondary skill. Candidates are not expected to perform deep Hadoop administration, cluster management, or advanced big-data engineering.
Preferred:
Skills " Apache Spark " NoSQL Databases (Cassandra/MongoDB) " Splunk, Dynatrace " AWS, Azure, or GCP " Domain experience in Banking/Financial Services " DevSecOps practices
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