Data Engineer
- 0 years
- Hyderabad
- 8 days ago
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Job Description
Minimum qualifications:- Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
- Experience with distributed data processing frameworks and modern GCP analytical and transactional data stores (e.g., BigQuery, Cloud SQL, AlloyDB), and experience working with at least one database type to write SQL queries.
- Experience in GCP.
Preferred qualifications:
- Experience working with data warehouses, including technical architectures, infrastructure components, ETL/ELT processes, reporting and analytics tools, environments, and data structures.
- Experience with encryption techniques like symmetric, and asymmetric encryption, HSMs, and envelop encryption, along with the ability to implement secure key storage using Key Management System (KMS).
- 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 CI/CD 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 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 large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product tests. 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. 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 Google Cloud Platform (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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: GoogleLocation(s): Hyderabad+ View Contact
Keyskills: Product management Product engineering Analytical Machine learning Data structures Data processing Data quality Data mining Analytics
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