SDET 1/2 | UCP

Fynd is an AI-native unified commerce platform headquartered in Mumbai, India. We help enterprise retailers and large store networks bring together what typically sits in silos: online commerce, in-store operations, and logistics, into one modular, scalable stack. Trusted by 300+ enterprise retailers and supporting 20,000+ stores, Fynd powers end-to-end retail execution: build and run high-performance websites, sell across marketplaces, modernize store experiences, and automate logistics and supply chain workflows. Our platform is designed for speed, accuracy, and scale, so teams can launch faster, operate smarter, and deliver more consistent customer experiences across every channel. Backed by Reliance Retail Ventures Limited, Fynd is expanding across the GCC, Africa, and Southeast Asia to enable next-generation retail experiences. We are building a Unified Customer Platform — an Enterprise Customer Data Platform (CDP) that powers identity resolution, audience building, real-time personalisation, and campaign orchestration at scale. The platform processes billions of customer interactions, and the integrity of data pipelines and insights is central to its success. As an SDET, you will ensure that data pipelines, APIs, and services are robust, reliable, and accurate. You'll build automation frameworks, test big data workflows, validate complex datasets, and guarantee that both data quality and system performance meet enterprise-grade standards. End-to-End Quality Ownership Contribute to all phases of product development: requirement analysis, design, testing, deployment, and monitoring. Data Pipeline Testing Validate ETL/ELT jobs, streaming pipelines, and batch processes for correctness, performance, and reliability. Verify data transformations, aggregations, schema evolution, and lineage. Build synthetic and anonymised test datasets that represent real customer scenarios and edge cases (PII, consent flags, multi-touch journeys). Perform data reconciliation between source and warehouse/lake. Strong SQL-based Validation Write complex SQL queries to: Verify data correctness across billions of rows. Check consistency, joins, aggregations, and edge cases. Automate SQL-based validation in CI/CD pipelines. API & Service Testing Write automation for REST APIs and backend services to ensure correctness, scalability, and performance. Test Automation Frameworks Build and extend automation frameworks in Python (Pytest/Playwright or similar) for pipelines, APIs, and data validation. Debugging & RCA Analyse failures in logs, pipeline runs, and data mismatches; perform preliminary root cause analysis. Performance & Scalability Testing Contribute to load and stress testing for APIs and high-volume pipelines. Collaboration Collaborate with Developers, Data Engineers, and Product to review designs, define acceptance criteria, and shift quality left.

Proficiency in Python, ability to build and extend automation frameworks and test tools. Strong ability to write and optimise complex SQL queries for validating large datasets. Proficient in REST API testing with hands-on experience using Postman and pytest automation frameworks. Exposure to distributed systems and event-driven architecture. Proficiency in Git, experience with Jenkins/GitHub Actions/GitLab CI. Collaboration Tools: Jira/Asana for tracking, Confluence for documentation.