Cloud Engineer, Data (google)

Qualifications

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  
• 3 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.
  
  View Orignal JOB on: italents.net

Preferred qualifications:

• Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
  
• Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc.
  
• Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, Spark ML, and TensorFlow.
  
• Experience in Big Data, information retrieval, data mining, or Machine Learning.
  
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
  
• Experience in Database type with ability to write complex SQLs and one public cloud provider, (e.g.,Google Cloud Platform (GCP) ).

Summary

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  
• 3 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.
  

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.

In this role, 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 large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product issues. You will have an in-depth understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. 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 Google Cloud Platform (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.