Test Automation Engineer I

Roles & Responsibilities

• Develop, execute, and maintain automated test scripts for data visualization tools like Power BI and Tableau.
• Ensure data accuracy and integrity during the integration process with Snowflake and Databricks.
• Create and manage SQL queries for validating data transformations and integrations.
• Collaborate with cross-functional teams to understand data requirements and provide solutions.
• Identify and troubleshoot issues related to data visualization and integration.
• Document testing processes, results, and recommendations for improvements.
• Verify that all Key Performance Indicators (KPIs) are correctly calculated and displayed.
• Cross-check KPIs against business logic, source data, and defined metrics.
• Validate consistency of KPI results across different reports and filters.
• Compare final dashboards and reports against approved wireframes or design mockups .
• Ensure all visual components (charts, labels, filters, layout) match design specifications.
• Provide feedback on gaps, misalignments, or inconsistencies.
• Perform functional, usability, and cross-device testing on dashboards (e.g., Power BI, Tableau).
• Validate filters, drill-down paths, sorting, and interactivity.
• Use SQL or other tools to validate data between source systems and dashboards.
• Confirm correctness of aggregations, joins, and transformation logic.
• Monitor dashboard load times and responsiveness under various data scenarios.
• Report and escalate performance bottlenecks.
• Create test plans, test cases, and validation checklists based on BI requirements.
• Document and track bugs/issues using tools like JIRA, Confluence, or TestRail.
• Work closely with data engineers, BI developers, and business analysts to align on expectation .

Must-Have Skills:

• Experienced with AWS Cloud Services
• 2+ years of experience in QA, with a focus on data or BI platforms.
• 3 to 5 years of overall experience in QA /Test Automation is expected.
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Qlik).
• Experience d with SQL/NOSQL database .
• Familiarity with business KPIs and performance metrics.
• Understanding of dashboard wireframing and UX design principles.
• Excellent problem-solving skills and attention to detail.
• Good knowledge of python and Databricks.
• Familiarity with Agile/Scrum methodologies.
• Excellent problem-solving and analytical abilities.
• Superior communication and teamwork skills.
• Ability to work in a fast-paced, dynamic environment.
• Ability to learn new technologies quickly.
• 3 -5 years of Testing experience, including 2 year in Data Visualization testing.

• Good-to-Have Skills:

• Familiarity with distributed systems, databases, and large-scale system architectures.
• Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops