Software Engineer developing features and maintaining Master Data Management and Customer Data Platform solutions. Collaborating with cross-functional teams to centralize and utilize customer data effectively.
Responsibilities
Work with the team and business to develop and extend a comprehensive Customer Master Data Management system to consolidate, cleanse, and manage customer data across various sources.
Develop, test, and deliver modular extensible software code which meets business objectives.
Collaborate with cross-functional teams, including data analytics, product management, and business stakeholders, to define requirements and create effective data-heavy backend solutions.
Work to integrate data from disparate sources, ensuring data quality and consistency throughout the MDM system.
Develop GraphQL API Access layer around customer PII, behavioral data, and propensity attributes for consumption by Marketing, Support Operations, and Personalization
Establish and enforce data governance policies, stewardship practices, and quality standards.
Monitor and optimize system performance to ensure scalability, reliability, and security of the upstream, customer data service, and downstream systems.
Participate in on-call rotations and incident response to ensure our SLO are met
Requirements
Bachelor’s degree in computer science, engineering, related technical field or equivalent experience.
4 years of expertise with Python3 specifically with Django
Proficiency working in one or more cloud environments (AWS, GCP)
2+ years of experience in software design and implementation
Proficiency in relevant technologies and tools (e.g., SQL, NoSQL databases, data integration tools)
Excellent problem-solving skills with the ability to think critically and work independently.
Strong communication skills, with a proven ability to collaborate and build consensus effectively across different teams and organizational levels.
Ability to drive delivery of projects from concept through completion.
Data Privacy & Compliance: Familiarity with data privacy laws and regulations such as GDPR, CCPA, and industry best practices for handling sensitive customer data.
Serverless/Kubernetes/Containerization: experience developing microservices using containerization in Kubernetes is a plus
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