Position: Data QA Engineer
Company: PSR
Experience required: 3y
Category: QA Automation
English level: upper
Published: 2021-01-01T00:00:00+02:00

Our tech stack consists of React, React Native and Flutter applications communicating using GraphQL to microservice containers orchestrated by Kubernetes. Most of our services is written in Golang with stream processing in Java, they use gRPC for communication, achieve high scalability thanks to Apache Kafka based event driven architecture, persist data to a mix of RDBS and No-SQL databases including PostgresDB, MongoDB, Cassandra, S3 and Elasticsearch. We follow CI/CD and agile methodologies to deploy into production multiple times per week. 
The Role 
90POE’s mission is big. It is not going to be easy but with the support and determination from our stakeholders and the brilliant people we have hired we can achieve anything. Right now, we are seeking an experienced Data QA engineer to validate our data stream pipelines. Raw Data is streamed in our system by processes like ETL, after aggregation, enrichment and manipulation results are saved into materialized views that product teams rely on to build user applications. 90poe is looking to improve the capability of testing such data pipeline. 
We expect that the right candidate would acquire maritime domain specific knowledge, thanks to the high exposure to domain data, therefore no prior domain expertise is required. 
What’s in it for you?
What you will be responsible for: 
Primarily we are looking for somebody to manage from design to execution the testing phase related to all time-series streaming data pipelines: 
• Define acceptance criteria 
• Prepare test data 
• Designing and develop tests, mocks and stubs 
• CI/CD pipeline building 
• Test results analysis 
This is a hands-on position for an expert QA engineer. In addition to practical coding and QA skills, an important aspect is played by soft skills tasks such as: 
• Researching, gathering, organizing tests around data 
• Evangelizing the importance of testing with real-world data to strength the system • Enhancing a cultural shift in intensive data applications development cycle 
Requirements: 
• 3+ years of experience in Software development as Automation QA / SDET • Strong prooved experience building complex e2e solutions from scratch • Ability to analyze and troubleshoot complex data-based testing scenarios • Familiarity with cloud-based / micro-services architecture 
Nice to have: 
• Experience with any messaging system 
• k8s experience 
• SDET experience desirable