Description

You will design, build, and maintain scalable event-driven microservices and high-performance Python processes for real-time financial data processing, reconciliation, and data lifecycle management.

Responsibilities

• Develop and deploy internal tools using Retool for job failure dashboards and admin interfaces for manual reconciliation.
• Implement schema governance using Azure Schema Registry and manage idempotent, exactly-once message delivery to ensure financial data integrity.
• Build and maintain APIs and file-based batch integrations to connect with legacy systems lacking real-time streaming capabilities.
• Perform root-cause analysis for data and interface issues, implementing preventative fixes and runbooks.
• Coordinate with vendors and internal teams on patches, upgrades, and releases, validating changes against change control practices.

Required Skills

• Deep experience with Azure Functions, Logic Apps, Event Hubs, Service Bus, and Storage (Blob/Data Lake) or Kafka.
• Expert-level Python with strong SQL skills, including pandas for data transformation.
• Proven experience designing asynchronous systems, handling idempotency, and managing dead-letter queues.
• Hands-on experience with Infrastructure as Code (Terraform) and containerization (Docker/Kubernetes).
• Experience building high-availability, low-latency systems with strong analytical troubleshooting skills.
• 9+ years of professional software development experience.
• Bachelor's degree in any discipline.

Preferred Skills

• Experience with Azure Event Grid for event routing.
• Background in financial data processing or reconciliation systems.

Key Skills

Education

Any Gradute