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Google

Strategic Cloud Engineer, Business Intelligence, Looker

🌎

Bengaluru, Karnataka, India

13h ago
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Job Description

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, a related field or equivalent practical experience.
  • 3 years of experience in delivering Business Intelligence/Reporting projects with reports.
  • Experience working in Google Cloud Platform and Business Intelligence tools like Tableau, Power BI, or similar.
  • Experience with SQL and in Looker including writing and maintaining LookML model.

Preferred qualifications:

  • Certification in Google Cloud Professional Cloud.
  • Experience in working on data warehouses, including data warehouse technical architectures and data structures.
  • Knowledge of programming/scripting languages like Python, R, etc.
  • Knowledge of Looker concepts such as dimensions, measures, Explores, Joins, parameters, templated filters, and Persistent Derived Tables (PDTs).
  • Knowledge of Data modelling techniques and their application based on reporting requirements.
  • Understanding of liquid syntax, embeddings, live reports, extensions, and blocks and implementing Looker admin, security and user management policies.

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Strategic Cloud Data Engineer, you will guide customers on how to store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work with Product Management and Product Engineering teams to build and drive excellence in our products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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.

  • Recommend technical solutions and best practices for customer requirements using Looker functionalities.
  • Interact with internal technical stakeholders (Technical Account Manager, Field Sales Representative, Customer Success Managers, etc.) to translate customer requirements into recommendations for appropriate solution architectures and consulting services.
  • Help Google cloud customers with current infrastructure assessment, design and architect infrastructure, develop a migration plan and deliver technical workshops to educate them on Google Cloud Platform (GCP).
  • Work with leading customers and enterprises to identify and offer value of Looker’s product. Structure programs that will deliver impact to enterprises and leverage the best of Looker functionalities.
  • Engage with c-suite executives, technical leads and partners to lead migrations to GCP. Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation.

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