Quality Engineering - Data

This is a test lead/SME role; work with the project team for test delivery and achieve results on time with quality. This role will have a solid reporting line to the Testing Competency Center Lead/Manager and a dotted line reporting to the product/project manager/Scrum master and will work closely with other developers in the team working on other parts of the system.
Responsibilities:
The role of Software Tester is an independent role that can execute test cases, coordinate test activities, and lead small projects testing independently. This role ensures project test preparation and test execution are delivered on time and provides overall status/reports.
Work closely with Scrum team members to clarify requirements, ensure testability and ability to design test cases, and provide feedback on design, both functional and technical.
Identify test cases from Acceptance Criteria for the User Stories, estimate work, and participate in design reviews.
Work on frameworks to ensure continuous deployment and continuous integration.
Responsible for actively contributing to end-to-end test activities such as test script development, test execution, and defects management.
Business and vendor-facing role: Analyze the project requirements. Assist in providing a high-level test approach and test plan for the project. Analyze impacts of changes and determine scope for the project Assist in providing.
Test Effort Estimation for the project: Design and Develop test conditions, test scripts, test data, and expected results for test streams, including Product Test, Integration Test, Technical Test and Deployment Test Develop, update, and maintain existing regression test assets.
Execute test scripts: Manage group of testers for test case creation and Test Execution Identify and Manage Test Data, Test Environment needs.
Provide Test Status with accurate: Reporting Provide clarity on defect severity and priority. Coordinate with Vendors for Defect fixes Drive Automation for the products/applications. Validate fixes provided by application vendors. Risk/Issue management: Analyze and conduct Root cause analysis (RCA).
Requirements:
Primary Skills: Testing, Deployment Testing, Data and Analytics, Azure Data Engineering.
Understanding Data factory, Linked Services, SQL DB/PostgreSQL, and DatabricksSQL queries on SQL DB/PostgreSQL and on Databricks.
Any Backend automation experience using Databricks is a plus.
Experience of Agile and DevOps concepts.
Work Expertise on Integration testing.
Experienced with STLC and Testing Concepts.
Understanding of build pipelines, software development lifecycle, testing methodologies, QA terminology, processes, and procedures using ATDD and TDD methods.
Experience with Databricks / Spark (SQL and Python preferred).
Advanced knowledge of SQL,
Experience with Continuous Integration and Continuous Deployment; working knowledge with VSTS and GIT.
Skills in test integrations, defect management, and test management using any ALM tool (VSTS / JIRA).
Strong verbal and written communication skills are mandatory.
Self-Driven, results-oriented, motivated, and a team player.
Ability to work across time zones and be flexible.
Strong Retail domain knowledge, Data and Analytics exposure, Azure / AWS.
Understanding AI concepts.
Bachelor's Degree in computer science or equivalent with 4 to 8 years of experience.
Experience with Databricks / Spark (SQL and Python preferred) Advanced knowledge of SQL.

Experience
4-7 yrs