Description

You will design and build scalable, data-intensive platforms for revenue integrity, ingesting and validating data from multiple external vendors to ensure accuracy in revenue-critical workflows.

This role is remote.

Responsibilities

• Design and develop systems that ingest, normalize, and validate data from internal and external sources.
• Build services and workflows to execute complex business rules, reconciliation logic, and validation processes.
• Improve engineering efficiency through CI/CD automation, environment provisioning, release management, and automated testing.
• Create tooling and platform capabilities that enhance developer productivity and platform quality.
• Troubleshoot and resolve complex issues across distributed systems, cloud infrastructure, and data pipelines.

Required Skills

• 12+ years of professional software engineering experience in enterprise-scale or platform engineering environments.
• Expertise in Python and Java, with a strong preference for Python.
• Hands-on experience with AWS cloud services and cloud-native application architecture.
• Strong knowledge of SQL, relational databases, and data modeling concepts.
• Experience working with Databricks or similar large-scale data processing and analytics platforms.
• Proven experience developing production-grade applications with strong code quality and maintainability practices.
• Strong background designing and maintaining CI/CD pipelines, automated deployments, and testing frameworks.

Key Skills

Education

Any Graduate