Cloud QA Engineer (AI) - Data Engineering

Quest Global; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Quest Global is seeking a Cloud QA Engineer to ensure quality across an enterprise-scale data platform. You will validate cloud-native apps, data pipelines, semantic services, APIs and search capabilities, collaborating with architects, developers and stakeholders to define test strategies and automate testing.

The role emphasizes end-to-end testing, performance, security, and data quality across multiple data sources, with hands-on usage of Postman, Swagger, Playwright and Selenium in a

Qualifications

• Functional, integration, system, regression, API and DB testing
• Experience testing cloud-native apps on AWS
• Validate ETL/ELT pipelines, data quality and data transformations
• Test REST APIs using Postman or Swagger or similar tools
• Understand database validation techniques for data accuracy
• Use test automation frameworks like Playwright or Selenium
• Familiarity with Snowflake and cloud data platforms
• Know CI/CD pipelines and DevOps practices
• Track defects and test management in JIRA

Responsibilities

• Develop and execute functional, integration, system, regression, and end-to-end test cases
• Validate data ingestion pipelines, data transformations, metadata, semantic models, and data quality across multiple enterprise data sources
• Test Web UI, REST APIs, GraphQL services, and streaming interfaces
• Validate semantic search, keyword search, Natural Language Search, and data retrieval capabilities
• Perform API, database, and data validation using appropriate testing tools
• Develop and maintain automated test suites for functional and regression testing
• Execute performance, scalability, reliability, and security testing for cloud-native applications
• Collaborate with Data Engineers, Cloud Engineers, Architects, and developers to identify and resolve defects
• Track defects, verify fixes, and support release validation activities
• Contribute to test planning, documentation, and continuous improvement initiatives

Skills

Functional testing

API testing

Data testing

Data pipelines

Cloud testing (AWS)

SDET mindset

Test automation

Postman/Swagger

Selenium/Playwright

CI/CD awareness

Tools

Postman

Swagger

Playwright

Selenium

JIRA

OpenSearch

Kafka

Snowflake

CI/CD tools

Job description

Job Description: Cloud QA Engineer (Data Engineering)

We are looking for an experienced Cloud QA Engineer to ensure the quality, reliability, and performance of an enterprise‑scale data platform. The role involves validating cloud‑native applications, data pipelines, semantic services, web interfaces, APIs, and search capabilities across multiple enterprise systems. The engineer will work closely with architects, developers, and business stakeholders to define test strategies, automate testing, and ensure high‑quality solution delivery.

Key Responsibilities

• Develop and execute functional, integration, system, regression, and end‑to‑end test cases.
• Validate data ingestion pipelines, data transformations, metadata, semantic models, and data quality across multiple enterprise data sources.
• Test Web UI, REST APIs, GraphQL services, and streaming interfaces.
• Validate semantic search, keyword search, Natural Language Search, and data retrieval capabilities.
• Perform API, database, and data validation using appropriate testing tools.
• Develop and maintain automated test suites for functional and regression testing.
• Execute performance, scalability, reliability, and security testing for cloud‑native applications.
• Collaborate with Data Engineers, Cloud Engineers, Architects, and developers to identify and resolve defects.
• Track defects, verify fixes, and support release validation activities.
• Contribute to test planning, documentation, and continuous improvement initiatives.

Required Skills

• Strong experience in Functional, Integration, System, Regression, API, and Database Testing.
• Experience testing cloud‑native applications on AWS.
• Experience validating ETL/ELT pipelines, data quality, and data transformations.
• Experience testing REST APIs using Postman, Swagger, or similar tools.
• Good understanding of database validation techniques.
• Experience with test automation frameworks such as Playwright, Selenium, or equivalent.
• Familiarity with Snowflake, data warehouses, and cloud data platforms.
• Knowledge of validating CI/CD pipelines and DevOps practices.
• Experience with defect tracking and test management tools such as JIRA.

Preferred Skills

• Experience testing Data Engineering, Data Analytics, or Data Marketplace platforms.
• Understanding of Semantic Layers, Knowledge Graphs, Metadata Management, and Data Governance concepts.
• Familiarity with GraphQL, OpenSearch, Kafka/MQ, and cloud storage services.
• Experience with performance testing tools such as JMeter.
• Exposure to AI‑enabled search or Retrieval‑Augmented Generation (RAG) based applications from a testing perspective.

Work Experience

Cloud Testing, API and DB Testing, Automation Testing, CI/CD Pipeline Testing