SDET-Python

Client – Lululemon

Role – SDET Python

Location – Vancouver, WA / Seattle, WA – First Preference Vancouver

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 ResponsibilitiesTest 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 QualificationsExperience

Area

Requirement

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 SkillsAutomation & 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:

Retail Area

Examples

Product Data

SKU management, hierarchies, attributes, pricing

Customer Data

Customer 360, loyalty programs, segmentation

Inventory Data

Stock levels, fulfillment, supply chain

Store/Location

Store attributes, regions, channels

Promotional Data

Campaigns, discounts, markdown management

Tools & Technologies

Category

Technologies

Languages

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