Related skills
java sql data quality reconciliation llm📋 Description
- Design and implement reconciliation frameworks across financial systems.
- Build real-time and batch data pipelines with Flink and Hive.
- Write complex SQL for data validation and anomaly detection.
- Collaborate with Finance, Risk, and Product to define reconciliation rules and SLAs.
- Optimize performance and reliability for high-volume, low-latency reconciliation.
- Leverage AI/LLM tooling to accelerate development and automate anomaly triage.
🎯 Requirements
- 3+ years backend development experience, primarily in Java
- Strong SQL skills; write and optimize complex queries for large data
- Hands-on with Flink (streaming) and Hive (batch/warehouse)
- Data-sensitive mindset: accuracy, consistency, edge cases
- Experience in financial reconciliation, settlement, or data quality engineering is a plus
- Familiarity with AI tools (Copilot, LLM-based automation) is a plus
🎁 Benefits
- Work-from-home arrangement (may vary by team)
- Collaborate with world-class talent in a flat structure
- Autonomy on fast-paced projects in an innovative environment
- Career growth and continuous learning
- Equal opportunity employer
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