Backend Engineer(Hadoop)

ENCORA TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ENCORA TECHNOLOGIES PTE. LTD. in Singapore is seeking an experienced backend engineer to design, develop, and maintain scalable Java/Spring Boot applications and data processing services. You will build REST APIs, support Hadoop-based data platforms (HDFS/Hive/Spark), and optimize ETL pipelines handling large data volumes. Collaborate with data engineers, architects, and stakeholders, ensure security and governance, and contribute to deployments and production support.

Qualifications

• 5–8 years of backend development experience.
• Strong Java and Spring Boot skills with REST API design.
• Hands-on Hadoop/Hive/Spark experience.
• Experience in large-scale enterprise environments preferred.

Responsibilities

• Design, develop, and maintain scalable backend applications.
• Build and optimize REST APIs and data processing components.
• Develop ETL pipelines and large-volume data processing jobs.
• Collaborate with architects, data engineers, and business stakeholders.
• Participate in deployment, production support, and incident resolution.
• Ensure security, data governance, and coding standards.

Skills

Java

Spring Boot

REST APIs

Backend development

SQL

ETL

Kafka

CI/CD

Linux/Unix

Problem-solving

Tools

Hadoop

Hive

Spark

YARN

Job description

• Design, develop, and maintain scalable backend applications and data processing services using Java/Spring Boot and related technologies.
• Develop and support distributed data processing solutions using the Hadoop ecosystem, including HDFS, Hive, Spark, and related components.
• Build REST APIs, backend services, and data integration components to support enterprise applications and data platforms.
• Develop efficient ETL/data processing pipelines and optimize large-volume data processing jobs.
• Work with Hadoop/Hive/Spark to ingest, transform, process, and analyze large datasets.
• Troubleshoot application, data processing, performance, and production issues across backend and Hadoop environments.
• Implement code quality, unit testing, logging, monitoring, and performance optimization practices.
• Collaborate with architects, data engineers, application teams, and business stakeholders to understand requirements and deliver solutions.
• Participate in deployment, release management, production support, and incident resolution activities.
• Ensure solutions follow enterprise security, coding, data governance, and technology standards.

Key Skills:

• Strong experience in Java, Spring Boot, REST APIs, and backend development.
• Hands-on experience with Hadoop ecosystem, particularly HDFS, Hive, Spark, and YARN.
• Good knowledge of SQL, data processing, ETL, and distributed computing.
• Experience with Kafka or other messaging technologies is an advantage.
• Exposure to Linux/Unix, Git, CI/CD, and cloud platforms is preferred.
• Strong troubleshooting, analytical, and problem-solving skills.
• Experience working in large-scale enterprise or banking environments is preferred.
• Typically 5–8 years of relevant backend development experience, with solid hands-on Hadoop experience.