• At least 4 years of experience in leading the solution implementation of high volume heterogeneous data, preferably with distributed systems such as EMR, BigQuery, Hadoop, dataproc, Databricks, Flint,Data Fusion,Trino
• Experience in application development methodologies, Big Data Architecture, ELT design, and real time streaming
• Experience in cloud based design and development, data modeling, data access, and data storage techniques on cloud platform, preferably experience in GCP and writing distributed, high-volume services
• Knowledge in Spark, python, R, Hadoop ecosystems, Node.js, RESTful API / Micro-Service, Kubernetes, Docker or other open source development framework etc.
• Knowledge in Machine Learning and data wrangling
• Experience in agile development life cycle, project management approaches and requirements, design, and testing techniques
• Experience in data protection with serializability and strong level of isolation
• Familiar with datalake related concepts,with Dataplex usage is preferred
• Strong understanding across cloud and platform components to deliver end to end cloud architectures and designs
• Experience working on Google Machine Learning Tools
• Proven experience in IoT product
• Strategic thinking and communication, which able to coach and lead all levels of people

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