Java Developer with Hadoop - Charlotte, NC | TCS Job

Java Developer with Hadoop

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

Salary Range- $110,000-$125,000 a year