SQE - Data Quality Automation: SQL and Python

• 4+ years of experience as a Software QA specialist.
• Understanding of the Software Development Lifecycle.
• Strong understanding of cloud platforms and relational databases.
• Proficiency in advanced SQL and Python, experience with PySpark is an added advantage.
• Hands-on experience with Snowflake and Databricks for data processing, analytics, and validation.
• Experience in designing and implementing automated testing solutions using Python.
• Experience with AI-assisted development and testing tools such as Cursor.
• Experience working with YAML files for configuration and automation.
• Proficiency in defect tracking and test management using Jira.
• Experience with Git or similar version control systems is preferred.
• Open personality - seek and give feedback, willing to share knowledge and help.
• Proficiency in English.

Roles and Responsibilities

• Be part of all phases of the Software Development Lifecycle.
• Determine product quality goals, standards, and levels with input from product managers, and demonstrate how these will be achieved through the QA approach.
• Take part in software design discussions, reviews, test planning and test strategy definition.
• Leverage Cursor and AI-assisted development to create comprehensive test automation suites and maintain and enhance existing automation frameworks.
• Build and extend a diverse set of functional and non-functional tests.
  Participate in research and adoption of new tools.
• Collaborate with other team members in implementation, code reviews, Scrum ceremonies.
• Ensure the defect management process is followed within the team.
• Perform investigation of production defects, including root cause analysis.
• Reduce cycle time by identifying bottlenecks and streamlining release management/deployment activities (e.g., through automation).