Job Description

• Automation testing experience working in Data platform applications, Data pipeline, Databricks, Hadoop, Hive, Spark (PySpark), Python, Java
• Develop and maintain automated test scripts
• Collaborate with cross-functional teams to identify and resolve defects and issues in software applications.
• Design and implement test automation frameworks and strategies to ensure high-quality software delivery.
• create and maintain test documentation, including test plans, test cases, and test scripts.
• Strong understanding of software testing methodologies and test automation frameworks.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Enable team to pursue insights and applied breakthroughs, while also driving the solutions to Starbucks' scale
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of structured and unstructured data sources and using big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Perform root cause analysis to identify permanent resolutions to software or business process issues.

Preferred Qualifications:

• Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
• Effective communication skills
• Excel at problem solving
• Proficiency in debugging, troubleshooting, performance tuning and relevant tooling
• Proven ability to manage and deployment of big data implementations
• Experience building cloud native enterprise software
• Solid understanding of data design patterns and best practices
• Proficiency in logging and monitoring tools, patterns & implementations
• Understanding of enterprise security, REST / SOAP services, best practices around enterprise deployments
• Proven ability and desire to mentor others in a team environment
• Working knowledge of data visualization tools such as Tableau is a plus.