Data and Analytics Engineer
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Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
- 4 years of experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and hadoop frameworks.
- Experience in distributed data processing frameworks and modern age GCP analytical and transactional data stores like BigQuery, CloudSQL, AlloyDB etc, and experience in one Database type to write SQLs.
- Experience in GCP.
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 encryption techniques like symmetric, asymmetric, HSMs, and envelop, and ability to implement secure key storage using Key Management System.
- Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.
- 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 IaC and CICD tools like Terraform, Ansible, Jenkins etc.
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 Strategic Cloud Data Engineer, you'll 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 challenges. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you'll work closely 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 customer requirements into recommendations for appropriate solution architectures and advisory services.
- Engage with technical leads, and partners to lead high velocity migration and modernization to GCP.
- Design, Migrate/Build and Operationalize 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.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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