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Test Lead
3 months ago
Description:
The Testing Specialist will collaborate closely with Business and Delivery teams to carry out the test strategy, ensuring business needs are met and delivering value to the business. Key responsibilities include:
- Overall Experience: 8 to 10 years in QA and ETL testing.
- Quality Assurance Leadership: Lead and oversee the Quality Engineering and Assurance (QEA) team responsible for maintaining software and data product quality and reliability within the Databricks environment.
- Test Strategy and Planning: Develop, implement, and supervise the quality assurance strategy and test planning for Databricks' products and solutions.
- Knowledge on Data Pipelines: Efficient data pipeline knowledge using Azure Databricks and its native services like Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.
- Quality Process Improvement: Constantly evaluate and enhance quality assurance processes and methodologies to boost the QA team's efficiency and effectiveness.
- Test Automation: Lead the automation of testing processes, including creating and maintaining test scripts and frameworks.
- Testing Lifecycle Management: Oversee the entire testing lifecycle from test case creation to execution, defect tracking, and reporting.
- Release Management: Coordinate with development and product management teams to ensure software releases meet quality standards and are delivered as planned.
- Quality Metrics: Define and monitor crucial quality metrics and performance indicators to offer insights into Databricks' product quality.
- Cross-Functional Collaboration: Collaborate with development, data engineering, data science, and other teams to embed quality into all product development phases.
- Security and Compliance Testing: Ensure Databricks' products comply with security and compliance regulations and perform necessary security tests.
- Problem Resolution: Supervise defect identification and resolution, working closely with development teams to swiftly address issues.
- Documentation: Maintain thorough documentation of testing processes, test cases, and results.
Qualifications
- Bachelor's or Master's degree in computer science, software engineering, or a related field.
- Extensive expertise in quality engineering, software testing, and quality assurance, demonstrating leadership and management skills.
- Solid 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.
- Effective leadership and communication abilities, with a talent for collaborating with diverse teams and stakeholders.
- Familiarity with Databricks' platform and associated technologies is often desired.
- Experience with cloud platforms such as AWS, Azure Cloud can be advantageous.
- Understanding of data governance, security, and compliance standards.