AVP - QA Automation Engineer - IB Tech & CRM/ Analytics

QA Automation Engineer – Job Description

Responsibilities:

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