Senior Data Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate a cloud-native, event-driven Service Layer platform that integrates Quote-to-Cash workflows across enterprise applications with high reliability and scalability.
Develop real-time event-driven services using Golang and Python, implementing canonical data models, transformation frameworks, and integration contracts for standardized communication.
Implement scalable Kafka-based event processing, secure REST APIs, observability, and operational tooling to ensure end-to-end workflow visibility and supportability.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.
7+ years of software engineering experience; minimum 3+ years dedicated to data engineering and distributed data platforms.
Minimum 3+ years of experience building cloud-native solutions on AWS and working with Golang, Python, and Kafka in production.
Proven experience designing and supporting highly available, business-critical enterprise integration platforms on AWS.
Ideal Candidate Profile
Deep expertise in distributed systems, event-driven architecture, and cloud-native development with strong skills in Golang, Python, and AWS services.
Experienced in designing scalable, resilient, and secure event-driven integration platforms with operational support including monitoring, alerting, and root cause analysis.
Familiarity with enterprise domains such as Quote-to-Cash, CRM, ERP, or Customer Lifecycle Management and comfortable collaborating with distributed engineering teams and cross-functional stakeholders.