Java & Data Engineer

Experis Austria; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Experis Austria is seeking a highly experienced resource with 6+ years of hands-on Java and Data Engineering expertise. The role requires strong Java, Spring Boot, REST APIs, and Spark (Java) capabilities to build and maintain data processing pipelines and related systems.

Candidates should be proficient in SQL, data transformations, and integrating with Elasticsearch/ELK, databases, and APIs. Strong problem-solving and debugging skills are essential; design experience is not mandatory.

Qualifications

• 6+ years of hands-on experience in Java development and data engineering.
• Proficient in Java (Spring Boot), Spark with Java, SQL, and REST/microservices.

Responsibilities

• Develop and maintain Java/Spring Boot applications.
• Implement Spark-based data processing and transformation logic.
• Integrate with Elasticsearch/ELK, databases and APIs.
• Troubleshoot and optimize applications and data pipelines.
• Contribute to building robust data processing pipelines.

Skills

Strong Java & Spring Boot

Spark with Java

REST APIs & microservices

SQL & data pipelines

Elasticsearch/ELK integration

Unit testing & production support

Git & CI/CD

Kubernetes, GKE, Docker

GenAI, RAG, LLM integration

Job description

We are looking for a 6+ years experienced resource who has strong hands-on Java & Data Engineer with good experience in both Java application development and Data Engineering. The candidate should be proficient in Java, Spring Boot, REST APIs/microservices, Apache Spark using Java, SQL, and development of dataprocessing pipelines. The role involves developing and maintaining Java/Spring Boot applications, implementing Spark-based data processing and transformation logic, integrating with Elasticsearch/ELK, databases and APIs, and troubleshooting and optimizing applications and data pipelines.
Strong hands-on coding and problem-solving skills are important. Application or solution design expertise is not mandatory.

Key Skills

• Strong Java and Spring Boot development experience
• Strong Data Engineering experience with Apache Spark using Java
• REST APIs and microservices development
• SQL, data transformations and data processing pipelines
• Integration with Elasticsearch/ELK, databases and APIs
• Unit testing, debugging, performance optimization and production support
• Git, build tools and CI/CD exposure
• GKE/GCP, Kubernetes/OpenShift and Docker added advantage
• GenAI, RAG, LLM integration or Agentic AI development - added advantage

Core requirement: Candidates must be hands-on and strong in both Java development and Data Engineering/Spark.