TECHNICAL LEAD - Data Quality

Job Description
Required Skills & Qualifications
Strong hands-on experience with UI and API automation tools/frameworks (e.g., Cypress, Playwright, Selenium, RestAssured, etc.).
Proficiency in one programming language: JavaScript or Python.
Expertise in test design methodologies, test data management, and root-cause analysis.
Proven experience in data testing, including:
Data normalization techniques
Data contracts validation
SQL queries (intermediate or above)
Preferred Skills required :
SQL and Python Proficiency, building Data Validation Scripting
Translate Business Rules/Logic into Data Validation Tests
Automate the Data Validation Tests using AI/Python Scripting
Analyse Data Discrepancies in the Pipeline, Data Stores and User Interface
Big Data and Cloud Based systems experience like GCP, AWS, Snowflake, Databricks, Bigquery, MongoDB etc.