Senior Java Developer (Data Processing)

We are seeking an experienced Senior Java Backend Engineer to design, develop, and optimize high-performance backend applications for large-scale data processing and analytics. The role involves building scalable data solutions, optimizing system performance, integrating cloud and database technologies, and collaborating with cross-functional teams to deliver secure, reliable, and efficient data-driven applications.

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.
• 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 modelling concepts.

Soft 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 ingestion.
• 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 preferred.