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SDET
Location - Seattle, WA - Remote
Contract
About the Role:
We are seeking a highly skilled SDET to join our Master Data Management (MDM) team called PLIM.
The ideal candidate will have strong expertise in test automation using Python frameworks, experience in the retail domain, and a deep understanding of Java microservices architecture.
You will play a critical role in ensuring the quality, scalability, and performance of our MDM platform while driving automation excellence across the team.
Key Responsibilities:
Test Automation & Framework Development
Design, develop, and maintain robust Python-based test automation frameworks using pytest and Great Expectations
Build and enhance data validation frameworks for MDM pipelines ensuring data quality and integrity
Develop automated test suites for API, integration, regression, and end-to-end testing
Master Data Management Testing
Validate data accuracy, completeness, and consistency across MDM domains (Product, Customer, Vendor, Location)
Implement data quality checks and automated validation rules using Great Expectations
Test data ingestion, transformation, and synchronization processes across systems
Java Microservices Testing
Test and validate Java-based microservices architecture including REST APIs and event-driven systems
Collaborate with developers on unit testing, integration testing, and contract testing
Ensure seamless deployment and testing within CI/CD pipelines
Performance & Scale Testing
Design and execute performance and load testing strategies for high-volume retail data processing
Identify bottlenecks and work with engineering teams to optimize system performance
Ensure MDM platform handles peak retail loads (seasonal spikes, promotional events)
Collaboration & Quality Advocacy
Partner with development, data engineering, and product teams to embed quality throughout the SDLC
Participate in code reviews, design discussions, and architecture decisions
Mentor team members on test automation best practices and frameworks
Required Qualifications:
Overall Experience
5+ years in SDET or Test Automation role
Retail Domain
3+ years working in retail industry
Python Automation
3+ years hands-on experience
Java Microservices
2+ years testing experience
Technical Skills:
Automation & Frameworks
Strong proficiency in Python with expertise in pytest framework
Hands-on experience with Great Expectations for data quality validation
Experience with BDD frameworks (Behave, pytest-bdd) is a plus
Master Data Management
Understanding of MDM concepts, data governance, and data quality principles
Experience testing MDM platforms (Informatica MDM, Reltio, Stibo, or similar)
Knowledge of retail master data domains: Product, Customer, Vendor, Store/Location
Java & Microservices
Strong understanding of Java microservices architecture
Experience testing REST APIs using tools like Postman, REST Assured, or requests library
Familiarity with Spring Boot, Kafka, and event-driven architectures
Performance & Scalability
Experience with performance testing tools (JMeter, Locust, Gatling)
Understanding of scalability testing for high-volume data systems
Knowledge of monitoring tools (Grafana, Datadog, Splunk)
DevOps & CI/CD
Experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps)
Proficiency in Git version control
Familiarity with containerization (Docker, Kubernetes)
Databases & Data Technologies
Strong SQL skills for data validation and query optimization
Experience with databases: PostgreSQL, Oracle, SQL Server
Knowledge of cloud data platforms (AWS, Azure, GCP) is a plus
Preferred Qualifications:
Experience with retail MDM implementations (Product Information Management, Customer Data Platform)
Knowledge of data integration tools (Informatica, Talend, Apache NiFi)
Familiarity with GraphQL API testing
Experience with contract testing (Pact)
Understanding of data mesh or data lakehouse architectures
Cloud certifications (AWS, Azure) are a plus
Retail Domain Expertise
The ideal candidate should have experience with:
Tools & Technologies:
Python, Java, SQL
Test Frameworks
pytest, Great Expectations, JUnit, TestNG
API Testing
Postman, REST Assured, requests, httpx
Performance
JMeter, Locust, Gatling
CI/CD
Jenkins, GitLab CI, Azure DevOps
Containers
Docker, Kubernetes
Cloud
AWS, Azure, GCP
Databases:
PostgreSQL, Oracle, SQL Server, MongoDB
Messaging
Kafka, RabbitMQ
Monitoring
Grafana, Datadog, Splunk, ELK Stack