Quality Engineer

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.
- Good 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.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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