Senior Backend Java Developer

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