Cloud Engineer, Big Data and Analytics, Google Cloud
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 8 years of experience in technical consulting.
- Experience in architecting and writing database or analytics code (e.g. data pipelines) and scripts in one or more languages (e.g., Python, Go, etc.).
- Experience in designing and maintaining internet-facing data backends in distributed, virtualized, or containerized environments.
Preferred qualifications:
- 7 years of experience managing customer/client-facing big data consulting projects to completion and handling technical delivery.
- 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.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- 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.
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