Project Role : Quality Engineer
Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process.
Must have skills : Data Engineering
Good to have skills : Python (Programming Language), PySpark
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Quality Engineer, your day involves collaborating with diverse teams to design and implement comprehensive solutions that enhance the overall application lifecycle. You engage in planning activities that integrate various ecosystem components, ensuring seamless delivery and maintaining high standards of quality. Your role includes executing continuous testing processes focused on security, application programming interfaces, and regression suites. You develop and maintain automation strategies and scripts, while also managing data and environment configurations. Additionally, you actively participate in code reviews, track and report defects,
and contribute to ongoing improvements in testing methodologies to support robust and reliable software delivery.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure alignment of quality objectives with project goals.
- Develop and maintain comprehensive documentation related to testing processes and automation frameworks.
- Assist junior team members by sharing knowledge and providing guidance on quality assurance best practices.
- Continuously evaluate and enhance testing tools and techniques to improve efficiency and effectiveness.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Positive To Have Skills: Experience with Python (Programming Language), PySpark.
- Strong understanding of data pipeline architectures and data integration techniques.
- Experience in designing and implementing automated testing frameworks.
- Familiarity with continuous integration and continuous deployment processes.
- Ability to analyze complex data sets to identify quality issues and recommend improvements.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.