We are seeking a skilled Quality Engineer to join our dynamic team. This role is pivotal in driving quality throughout the application lifecycle by collaborating with multi-disciplinary teams and integrating ecosystem components. You will be instrumental in accelerating delivery and ensuring robust application performance. Your contributions will directly impact the quality and reliability of our software solutions.

As a Quality Engineer, you will focus on continuous testing, including security, API, and regression testing. You will develop and implement automation strategies, create automated scripts, and manage data and environment configurations. Active participation in code reviews and diligent defect reporting are essential to our continuous improvement efforts in the end-to-end testing process.

You will be expected to perform independently and grow into a Subject Matter Expert (SME).

Key responsibilities include: - Active participation and contribution in team discussions and problem-solving. - Collaborating with cross-functional teams to align quality objectives with project goals. - Developing and maintaining comprehensive documentation for testing processes and automation frameworks. - Mentoring and guiding junior team members on quality assurance best practices. - Continuously evaluating and enhancing testing tools and techniques to boost efficiency and effectiveness.

The ideal candidate will possess a strong foundation in Data Engineering. Proficiency in Python (Programming Language) and PySpark is highly desirable.

Technical requirements include: - Demonstrated expertise in Data Engineering. - Experience with Python (Programming Language) and PySpark is a plus. - A solid understanding of data pipeline architectures and data integration techniques. - Proven experience in designing and implementing automated testing frameworks. - Familiarity with continuous integration and continuous deployment (CI/CD) processes. - The ability to analyze complex data sets to identify quality issues and propose effective solutions.

A minimum of 3 years of relevant experience in Data Engineering is required. Candidates must have completed 15 years of full-time education.