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At Implicity, our Data Ingestion pipeline is the backbone of everything we do, ensuring that raw device data from thousands of cardiac monitoring devices reaches cardiologists accurately and reliably. As we scale our engineering organization, we have created a dedicated Data Platform Ingestion squad and looking for a QA Analyst to own quality end-to-end across our back-end data flows. Collaboration: You will work closely with Data Engineers, Software Engineers, Tech Lead, QA Automation Engineers, and the Product Manager of the Ingestion squad.
Job Responsibility
Design and execute test plans on data ingestion pipelines, validate that raw data arrives in the expected format and is correctly transformed through each processing step
Test REST APIs, validate data flow through RabbitMQ (and equivalent message brokers), and ensure integrity across services and databases
Query and validate data across SQL databases (PostgreSQL, MariaDB), BigQuery, and MongoDB to confirm accuracy and consistency post-ingestion
Own the release acceptance testing process, deploy to preprod, validate, and sign off on quality before each production release
Identify and flag performance bottlenecks in ingestion flows
contribute to performance testing as the pipeline scales
Maintain the test repository up-to-date in Xray — create, review, and version test cases for ingestion pipelines
provide clear and structured requirements for QA automation engineers to enable test automation
Requirements
3–4 years of software testing experience in a cloud-based or data-intensive environment
Degree in Computer Science, Engineering, or equivalent
Experience with backend validation techniques, including API and database checks, to ensure test coverage
Healthcare, Banking, Finance, or any regulated/data-heavy industry (Bonus)
Interest in healthcare data and familiarity with GDPR/HDS (Bonus)
Previous exposure to FHIR is a plus
Nice to have
Healthcare, Banking, Finance, or any regulated/data-heavy industry
Interest in healthcare data and familiarity with GDPR/HDS