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Automation QA Engineer (Data & AI Platforms)

Automation QA Engineer (Data & AI Platforms)

Inferenz Tech

4 - 8 years

6 - 10 Lacs

ahmedabad

Posted:6 days ago| Platform:

Apply

Skills Required

system architecture automation ms sql linux testing tools mysql selenium oracle analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

hands-on Automation QA Engineer

fast-moving, product-oriented teams

Key Responsibilities:-

Test Strategy & Planning

Understand product requirements, system architecture, and data flows
Define
test plans, test strategies, and test cases
at component, integration, and system levels
Ensure comprehensive coverage for functional, regression, and release testing

Automation & Framework Development

Design, build, and maintain

scalable automation frameworks from scratch

Develop automated tests for:

Backend services and APIs
Data processing and validation logic
UI workflows (where applicable)

Primarily use

Python-based automation frameworks (PyTest preferred)

Execution & Defect Management

Execute automation and manual test cycles
Debug failures, analyze root causes, and work with developers on resolution
Track defects, verify fixes, and ensure release quality

CI/CD & Environment Support

Integrate automated tests into
CI/CD pipelines (Jenkins or similar)
Execute tests in
Dockerized and Linux-based environments
Support test execution across multiple environments

Work closely with product managers, developers, and data engineers
Participate in Agile/Scrum ceremonies
Mentor junior QA engineers and promote best practices

Required Skills & Qualifications:

Core QA & Automation

4-8 years of experience in

Automation + Manual QA

Solid experience with

PyTest / Selenium / API testing

custom automation frameworks

Knowledge of unit, integration, and regression testing concepts
Experience with defect tracking tools such as
JIRA
Familiarity with test management tools

Docker-based applications

CI/CD pipelines

Working knowledge of
SQL databases
(PostgreSQL, MySQL, Oracle, or MS SQL)
Understanding of backend workflows and data validation

Good to Have:

Experience testing

data engineering, analytics, or AI platforms

Exposure to

cloud platforms

(AWS / Azure / GCP basic)

SOAP / API testing tools

Familiarity with Agile/Scrum processes

Soft Skills:

Strong ownership and attention to detail
Ability to work under aggressive delivery timelines
Quick learner with a proactive mindset
Clear communication and documentation skills

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