Senior Backend Java Developer, Singapore

Key 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
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 and performance tuning for large datasets Good experience with relational database integration (PostgreSQL, MS SQL Server) 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 - Solid mathematical background with ability to work with complex formulas and algorithms Excellent analytical and problem-solving capabilities Experience with statistical analysis and data modelling concepts
Soft Skills - Excellent written and verbal communication skills Excellent 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 good project management skills
Other 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
Education - Bachelor's degree in Computer Science, Mathematics, Engineering, or related technical field Master's degree