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Senior Software Engineer – Java Developer

Summary

Builds high-performance Java backend systems for data processing and analytics, optimizing SQL queries, parallel processing, and cloud integrations (AWS/GCP/Azure) while ensuring security and scalability for large datasets.

Roles & Responsibilities

  • Design, develop, and maintainhigh-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 andperformance 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-solvingcapabilities
  • Experience with statistical analysis and data modelling concepts

Soft Skills

  • Excellent written and verbal communication 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 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

See also

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