.
Perform functional, regression, and end-to-end testing using
automation-first approaches
.
Validate
cross-browser compatibility and responsive UI behavior
across desktop and mobile devices.
Analyze UI defects, ensure proper root cause identification, and collaborate with developers for fixes.
Maintain stable, reusable, and scalable UI automation frameworks.
ETL & Data Testing
Perform
ETL testing
for data pipelines running on
on-premise ETL platforms and cloud-based architectures
.
Validate data movement across
source, staging, and target layers
.
Write and execute
advanced SQL queries
to validate:
Data transformations and business rules
Aggregations, joins, and calculations
Record counts and reconciliation checks
Test
full loads, incremental loads, and data refresh processes
.
Validate data processing and transformations executed on
Databricks
.
Automation, Scripting & Integration
Use
Python
to automate data validation, reconciliation, and repetitive ETL testing tasks.
Perform
API testing
using tools like
Postman
to validate backend services and integrations.
Integrate UI and data validation checks into automated test suites where applicable.
Support test execution and reporting in Agile delivery cycles.
Required Skills & Experience
UI Automation
Strong experience in
UI automation testing
Hands-on with
Cypress, Selenium, Playwright, or Protractor
Experience testing applications built using
Angular (14+) and/or Vue.js
ETL & Data Testing
Strong hands-on experience testing
on-premise ETL systems
and
cloud-based ETL pipelines
Advanced
SQL
skills for data validation and reconciliation
Solid understanding of
ETL concepts, data transformations, and data warehousing
Cloud & Platform Exposure
Experience working with
AWS-based data platforms
Hands-on exposure to
Databricks
for data validation and testing
Understanding of cloud data processing workflows
Scripting & QA Practices
Proficiency in
Python
for automation and data testing
Experience working in
Agile/Scrum environments
Familiarity with
Git
and version control workflows
Preferred (Nice to Have)
Cloud experience on
AWS, Azure, or GCP
.
Experience with
test automation in CI/CD pipelines
.
* Prior experience in
data-intensive or analytics-driven projects
.
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