Strategic Cloud Data Engineer (google)

Qualifications

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  
• 4 years of experience in developing and troubleshooting data processing algorithms.
  
• Experience coding with one or more programming languages (e.g., Java, Python) and Bigdata technologies such as Scala, Spark and hadoop frameworks.
  
• Experience with one public cloud provider, such as GCP.
  

Preferred qualifications:

• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
  
• Experience in Big Data, information retrieval, data mining, or Machine Learning.
  
• Experience with data warehouses, technical architectures, infrastructure components, Extract Transform and Load/Extract, Load and Transform and reporting/analytic tools, environments, and data structures.
  
• Experience in building multi-tier applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.
  
• Experience with Infrastructure as Code and Continuous Integration / Continuous Deployment tools like Terraform, Ansible, Jenkins.
  
• Understanding one database type, with the ability to write complex SQL queries.
  
  View Orignal JOB on: italents.net

Summary

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  
• 4 years of experience in developing and troubleshooting data processing algorithms.
  
• Experience coding with one or more programming languages (e.g., Java, Python) and Bigdata technologies such as Scala, Spark and hadoop frameworks.
  
• Experience with one public cloud provider, such as GCP.
  

Description

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 ingest, 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 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 constantly 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.

Responsibilities

• Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services.
  
• Engage with technical leads, and partners to lead high velocity migration and modernisation to GCP.
  
• Design, Migrate/Build and Operationalise data storage and processing infrastructure using Cloud native products 
  
• Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data
  
• Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.