• Provide deep technical expertise on a suite of Big Data technologies including databases, data warehouses, reporting tools, messaging systems, data pipelines/ETL/ELT systems, storage systems, job orchestration systems, and data catalog systems on any cloud platform or OSS stack.
• Design and deliver high-quality solutions including sample code and solve complex technical customer challenges.
• Work with internal and external clients/partners and understand their needs.
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations to different levels of key business and technical stakeholders.

• Experience building multi-tier high availability applications with modern web technologies (e.g., SQL databases, NoSQL databases, Kafka, MongoDB, SparkML, TensorFlow).
• Experience working with data warehouses, including technical architectures, infrastructure components, ETL/ELT, reporting/analytic tools and environments, and data structures.
• Experience with non-relational platforms and tools for large-scale data processing (e.g., information retrieval, data mining, machine learning).
• Experience architecting and developing software or internet scale production-grade big data solutions in distributed environments.
• Expertise in Google Cloud Platform's suite of Big Data technologies.

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We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form