Java Developer with Hadoop

Smart IT Frame
Jersey City, NJ, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
9 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Spring Security Agile Methodology Amazon Web Services Microsoft Azure Big Data Cloud Computing Computer Programming Continuous Integration Distributed Systems Gradle Apache Hadoop
+33 more
Hadoop Distributed File System MapReduce Apache HBase Apache Hive HP Systems Insight Manager Spring Framework Python (Programming Language) PostgreSQL Apache Maven Enterprise Messaging Systems MySQL Object-Oriented Software Development Oracle (Applications) Performance Tuning RabbitMQ SQL Databases Data Logging Data Processing Multithreading Enterprise Software Applications Spring-mvc Apache Spark Spring-boot Backend Git Build Management Kubernetes Information Technology Apache Kafka Restful APIs Docker Jenkins Microservices

Job description

We are looking for an experienced Java Developer with strong hands-on experience in Java, Spring Framework, Hadoop, and AWS cloud technologies/ Any Cloud. The ideal candidate will be responsible for designing, developing, and maintaining scalable enterprise applications, processing large datasets, and building cloud-based solutions. The candidate should have a strong understanding of backend development, distributed systems, microservices, and cloud infrastructure.

Requirements

  • Strong programming experience in Core Java, Java 8+, OOP concepts, Collections, and Multithreading. \n

  • Hands-on experience with Spring Framework, Spring Boot, Spring MVC, and Spring Security. \n

  • Experience developing REST APIs and microservices architecture. \n

  • Working knowledge of Hadoop ecosystem technologies, such as HDFS, MapReduce, Hive, and HBase. \n

  • Hands-on experience with AWS services, Azure, GCP or Any Cloud \n

  • Experience with SQL databases such as Oracle, MySQL, or PostgreSQL. \n

  • Knowledge of messaging technologies such as Apache Kafka or RabbitMQ is an advantage. \n

  • Experience with build and deployment tools such as Maven, Gradle, Jenkins, and Git. \n

  • Familiarity with Docker, Kubernetes, CI/CD pipelines, and Agile methodologies. \n

  • Strong problem-solving, analytical, and communication skills. \n, * Knowledge of Spark, Scala, or Python. \n

  • Experience with AWS-based data processing and distributed computing. \n

  • Understanding of application monitoring, logging, and performance tuning. \n

  • Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent practical experience. \n

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