Senior QA Specialist/ETL Tester

Job Description: Senior QA Specialist
Location: Habsiguda, Hyderabad
Department: Global Data Engineering, Architecture & Enablement
Reports To: QA Manager

Overview
We are seeking a Senior QA Specialist with deep expertise in both front-end and backend testing to ensure the quality, performance, and reliability of our data-driven
applications and platforms. This role requires hands-on experience across Snowflake, Azure, and Selenium, coupled with a strong understanding of ETL pipelines, data validation, 
and continuous integration environments.

Key Responsibilities
* Design, develop, and execute comprehensive test plans and test cases for data pipelines, APIs, and web applications (front-end and back-end).
* Conduct functional, regression, and performance testing to validate system stability and identify bottlenecks.
* Build and maintain automated test frameworks using Selenium, PyTest, or equivalent tools.
* Validate data transformations and business rules across Databricks and Azure Data Services like ADF.
* Collaborate with developers, data engineers, and business analysts to define quality standards and acceptance criteria.
* Monitor production releases and assist in root cause analysis for defects and performance issues.
* Develop Automation Framework that's re-usable for all pods

Required Qualifications
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* 10+ years of experience in Quality Assurance or Software Testing.
* Proven ability to perform front-end testing (UI automation, browser compatibility, usability) using Selenium/WebDriver.
* Strong back-end testing experience - validating APIs, ETL flows, and database-level checks using Databricks and SQL.
* Hands-on experience with Azure Data Services, including Azure Data Factory and Data Lake.
* Understanding of performance testing tools (JMeter, or similar).
* Familiarity with Agile/Scrum development environments and test management tools (JIRA, Azure Test Plans).
* Experience with Streamlit snowflake
* Excellent problem-solving skills and attention to detail.

Preferred Skills
* Exposure to Python-based test automation and Databricks Notebooks.
* Experience with Power BI or other BI validation tools.
* Knowledge of data governance, data quality metrics, and validation frameworks.
* Ability to analyze logs, query large datasets, and support test automation frameworks in a cloud environment.