About the Role

Are you passionate about technology and ready to contribute to an exciting venture? We are pleased to announce an excellent opportunity to join our team as a QE Lead – Data Analytics & Cloud. As a QE lead of our Data Analytics team, you will play a pivotal role in designing and optimizing data pipelines, ensuring seamless data flows and providing actionable insights to drive informed decision-making. If you are skilled

in solving complex data challenges and have a strong commitment to innovation, we want you on our team

Key Responsibilities:

Lead and mentor a team of Quality Engineers, fostering a culture of quality and continuous improvement. Develop and implement comprehensive testing strategies (functional & automated) to ensure software quality across the development lifecycle. Collaborate with product managers, developers, and stakeholders to define quality metrics, identify areas for improvement, and align on project goals. Collaborate with Teams: Work with business analysts, and stakeholders to provide data solutions that drive actionable insights. Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders Design and Develop Data Pipelines: Build and optimize data pipelines to efficiently process and move large volumes of data from various sources into centralized systems. Data Integration and Transformation: Implement ETL processes to ensure data is accurate, timely, and ready for analysis. Optimize Data Storage: Ensure data is stored efficiently and at scale using modern architectures like data lakes, data warehouses, and cloud storage solutions. Ensure Data Quality: Apply data validation techniques to ensure consistency, accuracy, and integrity across the pipeline. Automate Processes: Streamline and automate data tasks to improve efficiency and reduce manual errors

Preferred Skills:

Hands-on expertise in Data Analytics, ETL testing, API testing, and Selenium automation for data validation. Design and execute test strategies for ETL workflows, data transformations, and pipelines, ensuring data consistency, accuracy, and completeness. Strong experience in Selenium WebDriver, TestNG, JUnit, or similar frameworks for functional and regression testing. Proficiency in SQL, Python, Kafka, and cloud platforms (AWS, Azure, GCP) Expertise in API testing using Postman, SoapUI, RestAssured, with strong knowledge of REST & SOAP services. Database validation expertise in SQL, Snowflake, GCP, Oracle, MySQL, SQL Server, ensuring data integrity and performance. Experience with test management tools (Jira, Zephyr, TestRail) for test case management and defect tracking. CI/CD Integration: Embedding automation tests in Jenkins, GitLab, and other CI/CD pipelines. Establish and maintain QA best practices to enhance testing efficiency and product quality. Agile/Scrum experience: Ability to work in fast-paced, iterative environments.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field. Min of 7+ years of QA experience with at least 4+ years in leading a Data Analytics and ETL test team Excellent analytical, problem-solving, and communication skills.

Why Join Us?

Work in a cutting-edge data quality and automation environment. Opportunities for professional growth and career advancement. Comprehensive benefits package and competitive salary. Be part of a company that values data-driven decision-making, diversity, and innovation.

If you are a data-focused QE Lead looking for an exciting opportunity to make a significant impact, apply now and join our team!