Back End Developer

2 days ago

Singapore weSource Management Consultancy Firm Full time $120,000 - $180,000 per year


We are hiring for BACK END Developeres for a client that is based in Marina Bay Singapore

This is a hybrid role that follows a Dayshift Schedule (9 AM)

Salary is up to 12K monthly based on experience

At least 6 years of solid hands on BackEnd Development Experience is required with the below:

  • Must be based in Singapore or has Permanent Resident visa
  • Java EE, Java SE, Spring MVC
  • Strong SQL
  • Microservices Architecture
  • AWS
  • CI/CD

Technical Skills

  • 6+ years of Java backend development experience with focus on data processing applications
  • 3+ 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
  • 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-solving capabilities
  • Experience with statistical analysis and data modeling concepts

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

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

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