Vista previa generada por IA
Senior QA Automation Engineer in Pune enhancing microservices testing.
Expertise in Playwright, Selenium, RestAssured, and cloud data pipelines.
Title: AVP - QA Automation Engineer - IB Tech & CRM/ Analytics
Location: Pune, India
Description: QA Automation Engineer – Job Description
Automation Testing
- Build and maintain automated test suites using Playwright or Selenium (TypeScript/Java).
- Develop automation scripts in Python , Java , or similar languages.
- Implement service-level automation using RestAssured with Java.
Microservices Testing
- Hands-on experience testing Microservices architecture .
- Ability to automate tests for Java Spring Boot services.
Functional Testing
- Execute end-to-end functional testing and ensure comprehensive test coverage.
- Hands-on experience with ETL-to-UI workflows .
ETL & Database Testing
- Perform data validation and backend testing across SQL Server , MySQL , and NoSQL databases (MongoDB, Cassandra).
- Validate data pipelines involving SQL → NoSQL → Cloud buckets .
- Experience in automating data pipeline testing .
Big Data & Streaming
- Familiarity with Kafka or similar messaging/streaming platforms for data flow validation.
Cloud & Data Warehousing
- Experience with Amazon Redshift , AWS RDS , and cloud storage solutions.
Version Control
- Manage codebase and test scripts using Git .
Test Management & CI/CD
- Organize test cases in QTest and integrate with CI/CD pipelines ( Bitbucket , Bamboo, Git Actions ).
API Testing
- Perform API testing using Postman and implement API automation frameworks .
Agile & Collaboration
- Work in Scrum teams, use JIRA for bug tracking and task management.
- Document processes and collaborate via Confluence .
Tools & Technologies
- Playwright, Selenium, RestAssured, Python, Java, Spring Boot, Git, QTest, Bitbucket, Bamboo, Postman, Kafka, Redshift, RDS, MongoDB, Cassandra, AWS Cloud Services.
Preferred Skills
- Experience with Docker and Kubernetes for containerized test environments.
- Knowledge of CI/CD best practices and pipeline optimization.
- Familiarity with performance testing tools (e.g., JMeter, Gatling).
- Exposure to data streaming and real-time validation using Kafka or similar tools.
- Understanding of AWS services beyond RDS/Redshift (e.g., S3, Lambda).
- Strong analytical and troubleshooting skills for complex data flows.
- Ability to write custom utilities or frameworks for automation in Python/Java.
- #LI-JJ2