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
EA License : 02C3423
EA Personnel : R22108699
