SQE - Data Quality Automation: SQL and Python

Tavant; Bengaluru; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Tavant in Bengaluru, India is seeking an experienced Software QA specialist to join the team. The role focuses on QA across the full SDLC, building automated test suites with Python, and leveraging AI-assisted tools like Cursor for efficiency.

Candidates should have strong SQL/Python skills, experience with Snowflake and Databricks, and familiarity with Jira/Git for collaboration and version control. Excellent English communication is required.

Qualifications

• 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.

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).

Skills

QA engineer

SDLC

Cloud platforms

Relational databases

SQL

Python

PySpark

Snowflake

Databricks

Automation with Python

Cursor AI tools

YAML

Jira

Git

Communication

English

Tools

Cursor

Snowflake

Databricks

Jira

Git

Job description

• 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).