This role is for one of the Weekday's clients
Min Experience: 5+ years
Location: Remote (India)
JobType: full-time
The QA engineer is responsible for the test strategy spanning both services, which includes reviewing unit tests, conducting integration testing, validating AVRO contracts, and coordinating UAT with the client.
Requirements
Required Skills:
- Test strategy & planning: Capable of developing a multi-layered testing approach (unit, integration, contract, acceptance) specifically for data integration services; experienced in drafting acceptance criteria for batch/ETL-style processes.
- Contract testing (AVRO): Skilled in validating message schemas with a Schema Registry, assessing backward and forward compatibility, and ensuring that generated events conform to the established contract.
- Integration testing: Practical experience in testing API-to-Kafka pipelines, including setting up mock or sandbox environments for third-party APIs, validating Kafka consumers, and confirming end-to-end data flow integrity.
- Test automation: Proficient in creating automated tests using tools such as pytest, Jest, or equivalents that integrate seamlessly into CI/CD pipelines; knowledgeable in using test fixtures for DynamoDB, Kafka, and REST API stubs.
- Data validation: Skilled at ensuring data accuracy at every pipeline stage — from the source API response, through DynamoDB intermediate states, Kafka event payloads, to the Snowflake destination when accessible.
- UAT coordination: Experienced in assisting business stakeholders during user acceptance testing by managing defect triage, preparing test evidence, and facilitating staging sign-offs.
Desirable Skills:
- Knowledge of Kafka testing tools, for example kafka-console-consumer, schema registry CLI, and Confluent test utilities.
- Experience executing and analyzing performance and soak tests for batch workloads.
- Understanding of idempotency testing to ensure that repeated executions do not result in duplicate events.
Must-have Skills
QA Automation, Kafka
Skills Required
- Develop multi-layered test strategy (unit, integration, contract, acceptance) for data integration services and draft acceptance criteria for batch/ETL processes.
- Validate AVRO contracts using a Schema Registry, assess backward/forward compatibility, and ensure events conform to contracts.
- Perform integration testing for API-to-Kafka pipelines, including mock/sandbox setups and end-to-end data flow validation.
- Create automated tests using tools such as pytest or Jest integrated into CI/CD pipelines; use test fixtures for DynamoDB, Kafka, and REST API stubs.
- Ensure data validation at every pipeline stage: source API responses, DynamoDB intermediate states, Kafka payloads, and Snowflake destination.
- Coordinate UAT: manage defect triage, prepare test evidence, and facilitate staging sign-offs with business stakeholders.
- QA Automation (explicitly listed as must-have).
- Kafka (explicitly listed as must-have).
- Use of Kafka testing tools such as kafka-console-consumer, schema registry CLI, and Confluent test utilities.
- Experience executing and analyzing performance and soak tests for batch workloads.
- Understanding of idempotency testing to prevent duplicate events on repeated executions.
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
