Senior SDET — Data Platform / Query Engine

Що робити

Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flightdrivers.
Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.

Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.