Java Backend / Big Data Engineer – Java, Spring Boot, Spark & Scala

Java Backend / Big Data Engineer – Java, Spring Boot, Spark & Scala Location: Remote Job Summary We are seeking a highly skilled Backend/Big Data Engineer with strong experience in Java, Spring Boot, Apache Spark, and Scala to build scalable backend services and high-performance data processing applications. The role involves working with large datasets, microservices, and distributed systems in a fast-paced environment. Key Responsibilities Design, develop, and maintain backend applications using Java and Spring Boot Develop and optimize Apache Spark applications using Scala Build scalable data pipelines and batch/stream processing jobs Develop RESTful APIs and microservices Work with structured and unstructured data at scale Ensure performance optimization, fault tolerance, and data quality Collaborate with data engineers, backend teams, and DevOps Participate in code reviews and follow best coding practices Troubleshoot production issues and improve system reliability Required Skills & Qualifications Strong hands-on experience with Java (8+) Solid experience in Spring Boot, Spring MVC, Spring Data Strong expertise in Apache Spark (Spark Core, Spark SQL, DataFrames/Datasets) Proficiency in Scala for Spark development Experience with REST APIs and microservices architecture Good knowledge of SQL and NoSQL databases Understanding of distributed systems and big data concepts Experience with Git, Maven/Gradle Preferred / Good to Have Experience with Kafka, Hadoop, Hive, or HBase Exposure to Spark Streaming / Structured Streaming Knowledge of Docker, Kubernetes Experience with AWS / Azure / Google Cloud Platform CI/CD pipeline experience Agile/Scrum development experience Education Bachelor’s degree in Computer Science, Engineering, or equivalent experience Apply tot his job