📋 Description

• Investigate, diagnose, and resolve data-quality issues in large-scale backend systems.
• Design and implement Java-based repair and correction pipelines for high-volume datasets.
• Debug and fix issues in existing Java codebases supporting distributed systems.
• Build safe, idempotent jobs to correct data without introducing regressions.
• Leverage AWS services (S3, SQS, Lambda) to support queue-driven and batch workflows.
• Analyze system behavior related to performance, concurrency, and memory usage.

🎯 Requirements

• 6+ years of professional experience developing Java in large-scale backend systems.
• Strong debugging, triage, and data analysis skills.
• Experience working with distributed systems and high-volume processing pipelines.
• Hands-on experience with AWS, including services such as S3, SQS, and Lambda.
• Solid understanding of performance optimization, concurrency, and memory-efficient design patterns.
• Ability to design reliable, repeatable data repair workflows.

🎁 Benefits

• Long-term projects
• 100% remote work
• Payment in USD
• Paid Time Off (PTO)
• Work-from-home & training reimbursement
• English lessons