Lead Test Engineer

The Testing Specialist will collaborate closely with the Business and Delivery teams to implement the test strategy and fulfill identified business requirements, ensuring the delivery of business value. With 8 to 10 years of experience in Quality Assurance and ETL testing, you will lead the Quality Engineering and Assurance (QEA) team, responsible for ensuring the quality and reliability of software and data products within the Databricks environment. Your responsibilities will include developing and overseeing the quality assurance strategy and test planning for Databricks" products and solutions. You should possess a good understanding of efficient data pipelines utilizing Azure Databricks and its native services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage. Continuous assessment and enhancement of quality assurance processes and methodologies will be crucial to improve the efficiency and effectiveness of the QA team. You will drive the automation of testing processes, including the development and maintenance of test scripts and frameworks, and manage the entire testing lifecycle from test case creation to defect tracking and reporting. Collaboration with development and product management teams is essential to ensure software releases meet quality standards and are delivered on time. You will establish and monitor key quality metrics and performance indicators to gain insights into the quality of Databricks" products. Working with cross-functional teams, including development, data engineering, and data science, will be necessary to embed quality into all stages of product development. You will be responsible for ensuring that Databricks" products comply with security and compliance standards, conducting security testing as needed, and overseeing the identification and resolution of software defects by collaborating closely with development teams. Maintaining detailed documentation of testing processes, test cases, and results will also be part of your role. Qualifications: - Bachelor's or Master's degree in computer science, software engineering, or a related field. - Extensive experience in quality engineering, software testing, and quality assurance, with a proven track record of leadership and management. - Strong knowledge of software testing methodologies, test automation tools, and quality assurance best practices. - Experience with big data technologies, data processing, and analytics platforms relevant to Databricks. - Strong leadership and communication skills to collaborate effectively with diverse teams and stakeholders. - Familiarity with Databricks" platform and related technologies is often preferred. - Experience with cloud platforms like AWS, Azure Cloud may be beneficial. - Knowledge of data governance, security, and compliance standards.,