Senior Software Engineer – Java Developer

TEAMLEASE DIGITAL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

TEAMLEASE DIGITAL SINGAPORE PTE. LTD. is seeking an experienced Java backend engineer to design, develop, and maintain high-performance data processing systems.

The role focuses on translating business requirements into scalable technical solutions and optimizing memory usage for large datasets. You will collaborate across teams, implement parallel processing, and contribute to secure, compliant data handling while building robust CI/CD pipelines and data integrations with PostgreSQL/MS SQL

Qualifications

• 7+ years of Java backend development experience with focus on data processing.
• 5+ years of advanced SQL experience with complex query optimization.
• Deep understanding of parallel data processing frameworks and techniques.
• Memory optimization and performance tuning for large datasets.
• Relational database integration experience (PostgreSQL, MS SQL Server).
• Cloud platform experience (AWS, GCP, or Azure).
• Knowledge of SDLC, version control, and CI/CD pipelines.

Responsibilities

• Design, develop, and maintain high-performance Java backend systems for data processing and analytics.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Implement parallel data processing solutions to handle large-scale datasets efficiently.
• Optimize memory usage and system performance for data-intensive applications.
• Develop and maintain integrations with relational databases and data warehouses.
• Create and optimize complex SQL queries for data extraction, transformation, and analysis.
• Implement data security measures and ensure compliance with data protection regulations.
• Participate in code reviews and maintain high code quality standards.
• Design and implement CI/CD pipelines for data engineering workflows.

Skills

Java backend

Advanced SQL

Parallel data processing

Memory optimization

Relational database integration

Cloud platforms

SDLC & CI/CD

Data security

Tools

Docker

Kubernetes

PostgreSQL

MS SQL Server

AWS

Google Cloud

Azure

CI/CD tools

Job description

Roles & Responsibilities

• Design, develop, and maintainhigh-performance Java backend systems for data processing and analytics.
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Implement parallel data processing solutions to handle large-scale datasets efficiently
• Optimize memory usage and system performance for data-intensive applications
• Develop and maintain integrations with relational databases and data warehouses
• Create and optimize complex SQL queries for data extraction, transformation, and analysis
• Implement data security measures and ensure compliance with data protection regulations
• Participate in code reviews and maintain high code quality standards
• Design and implement CI/CD pipelines for data engineering workflows

Technical Skills –

• 7+ years of Java backend development experience with focus on data processing applications
• 5+ years of advanced SQL experience with complex query optimization
• Deep understanding of parallel data processing frameworks and techniques
• Expertise in memory optimization andperformance tuning for large datasets
• Strong experience with relational database integration (PostgreSQL, MS SQL Server preferred)
• Proficiency with cloud platforms (AWS, Google Cloud, or Azure required)
• Solid understanding of SDLC best practices, version control, and CI/CD pipelines
• Knowledge of data security principles and privacy protection measures

Mathematical & Analytical Skills –

• Strong mathematical background with ability to work with complex formulas and algorithms
• Excellent analytical and problem-solvingcapabilities
• Experience with statistical analysis and data modelling concepts

Soft Skills

• Excellent written and verbal communication skills
• Strong attention to detail and commitment to data accuracy
• Passion for working with data and numerical analysis
• Ability to work collaboratively in cross-functional teams
• Self-motivated with strong project management skills

Preferred Qualifications

• AWS certification or extensive AWS experience
• Python programming experience for data analysis and scripting
• Experience with MS SQL Server and/or PostgreSQL dialects
• Knowledge of data warehousing concepts and ETL processes
• Experience with containerization (Docker, Kubernetes)
• Familiarity with data visualization tools and techniques
• Experience with Agile/Scrum methodologies