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SPI GLOBAL CONTENT HOLDING PTE. LTD.

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senior Software Engineer

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Summary

Senior Java backend engineer building high-performance data processing and analytics systems: designing parallel processing solutions, optimizing SQL and memory usage, integrating with relational databases/warehouses, and maintaining CI/CD pipelines on a major cloud platform.

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 optimise 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 optimisation
  • Deep understanding of parallel data processing frameworks and techniques
  • Expertise in memory optimisation 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

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

Skills

See also

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