Senior Java Backend Engineer | Oracle & Big Data Lead

Private Advertiser; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A tech solutions provider in Singapore is seeking a Senior Java Backend Developer. This role involves leading reporting modules and database business logic for software products, focusing on Oracle database optimization, stored procedures, and Java backend development. Candidates should have strong Java expertise, experience with big data technologies like MongoDB, and excellent communication skills in English and Mandarin. An ideal candidate has 4-5 years of experience and is detail-oriented in handling large data volumes.

Qualifications

• 4-5 years of working experience in IT/Computer Software or equivalent.
• Experience in project management or overseeing development efforts.
• Good English and Mandarin communication skills.

Responsibilities

• Lead database-driven business logic development for software products.
• Execute Oracle database development including stored procedures.
• Collaborate with teams on system integration and RESTful API development.

Skills

Java SE / Java EE

Object-Oriented Programming

MVC Architecture

Spring Framework

MyBatis / iBatis

SQL performance optimization

Oracle database optimisation

stored procedure development

multithreading

performance tuning

REST Web Services

source control tools (SVN, Git)

big data technologies (MongoDB, ClickHouse)

Education

Bachelor’s Degree in Computer Science or Information Technology

Job description

A tech solutions provider in Singapore is seeking a Senior Java Backend Developer. This role involves leading reporting modules and database business logic for software products, focusing on Oracle database optimization, stored procedures, and Java backend development. Candidates should have strong Java expertise, experience with big data technologies like MongoDB, and excellent communication skills in English and Mandarin. An ideal candidate has 4-5 years of experience and is detail-oriented in handling large data volumes.