Extensive experience on backend development using Python.
Strong proficiency with FastAPI or similar frameworks for building APIs.
Experience with data modeling and working with ontologies to manage complex data relationships.
Hands-on experience with graph databases such as AWS Neptune or similar.
Proficiency in integrating AWS services to create scalable, secure backend solutions.
Solid understanding of ETL processes, data migration, and performance optimization.
Familiarity with best practices in code quality, security, and cloud architecture.
Team player with strong communication skills and an agile mindset.
RESPONSIBILITIES:
Develop, test, and maintain robust, high-performance APIs using Python.
Design and implement efficient data models for complex and evolving datasets.
Build and optimize graph-based solutions leveraging AWS Neptune or equivalent.
Architect backend solutions that scale seamlessly using AWS infrastructure.
Collaborate closely with product owners, engineers, and stakeholders to translate requirements into actionable implementations.
Support and enhance ETL pipelines, ensuring smooth data flow and migration processes.
Proactively troubleshoot and resolve issues across development and production environments.
Champion coding best practices, cloud security, and operational excellence.
Bachelor s or master s degree in computer science, Information Technology, or a related field.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full time