Application developer Cloud Fullstack

Mployee.me; Bengaluru; Presencial; INR 3 500 000 - 5 000 000; Tempo integral

Resumo da oferta

Mployee.me is seeking a hands-on Senior Java and Data Engineer in Bengaluru to lead the development of Java/Spring Boot applications and Spark-based data pipelines. You will design and implement data processing, ensure robust API services, and optimize integration with Elasticsearch/ELK and databases.

The ideal candidate has 6+ years of experience, strong coding skills, and practical knowledge of CI/CD, GKE/GCP, Kubernetes or OpenShift, and Docker.

Qualificações

• 6+ years of hands-on experience in Java development and data engineering.
• Strong Java and Spring Boot development experience.
• Hands-on Spark with Java for data processing pipelines.
• Experience with REST APIs and microservices architecture.
• Proficiency in SQL and data transformations.
• Experience integrating with Elasticsearch/ELK, databases and APIs.
• Unit testing, debugging, performance optimization and production support.

Responsabilidades

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

Conhecimentos

Java

Spring Boot

Apache Spark

REST APIs

Microservices

SQL

Data Processing

ETL

Ferramentas

Elasticsearch/ELK

Git

CI/CD

GKE/GCP

Kubernetes/OpenShift

Docker

Descrição da oferta de emprego

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.

Required Skills

• Java
• Spring Boot
• Apache Spark
• Data Engineering
• SQL
• REST APIs
• Microservices
• Data Processing
• ETL

Additional Information

NA