Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
- 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop.
- Experience in building multi-tier, high availability applications with contemporary technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.
- Experience in GCP.
Preferred qualifications:
- Experience in Big Data, information retrieval, data mining, or Machine Learning.
- Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc.
- Experience architecting, developing software, or Big Data solutions in virtualized environments.
- Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop.
- Ability to implement secure key storage using Key Management System.
About the job 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 Data and Analytics Consultant, 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 understand
📌 Data and Analytics Consultant, Google Cloud (Mumbai)
🏢 Google
📍 Mumbai