Senior QA Engineer (Automation + Data + Kafka)

1 hour, 3 minutes ago
Full-time
Senior
Quality Assurance and Testing
Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Design and implement test strategies across unit, integration, contract, system, and end-to-end levels.
  • Validate API functionality, performance, and reliability through automation.
  • Test Kafka-based event pipelines, including producers, consumers, message flows, and event processing logic.
  • Perform end-to-end data validation across APIs, Kafka streams, databases, and data warehouses.
  • Build, maintain, and optimize automated test suites using tools such as PyTest, Selenium, Jest, or similar frameworks.
  • Conduct ETL testing and data reconciliation to ensure consistency and accuracy across distributed systems.
  • Validate AVRO schemas and support contract testing for schema compatibility and versioning.
  • Execute integration testing across microservices and distributed applications.
  • Support UAT, defect management, release validation, and production readiness activities.
  • Collaborate with development, product, and business teams to identify, troubleshoot, and resolve quality issues.

Requirements

  • 5+ years of experience in QA Engineering, SDET, test automation, or related quality assurance roles.
  • Strong expertise in API automation testing and automation frameworks such as PyTest, Selenium, Jest, or similar.
  • Hands-on experience with Kafka and event-driven architectures.
  • Deep understanding of ETL testing, data validation, and distributed data pipelines.
  • Experience validating data across APIs, messaging systems, databases, and data warehouses.
  • Strong knowledge of integration testing, microservices testing, and system-level validation.
  • Experience working with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
  • Familiarity with AVRO schemas, Schema Registry, and contract testing methodologies is highly desirable.
  • Knowledge of cloud-based data platforms such as Snowflake, BigQuery, or Redshift is an advantage.
  • Experience with performance testing, soak testing, idempotency validation, and data consistency testing is a plus.

Benefits

  • Remote work opportunity based in India.
  • Salary range of Rs 16,00,000 to Rs 28,00,000 per year (INR 16–28 LPA).

Interested in this position?

Apply directly on the company website

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