Strategic Cloud Data Engineer Job in Bengaluru at Google

Google is Hiring for the role of Strategic Cloud Data Engineer!

Responsibilities of the Candidate:

• 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.
• Help customers transform their business using Google Cloud technology.
• Work with secure, reliable, and scalable cloud solutions.
• Serve diverse customers, including developers, businesses, educational institutions, and government agencies.
• Play a key role in understanding customer needs and shaping the future of technology adoption.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
• 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 Google Cloud Platform analytical and transactional data stores like BigQuery, CloudSQL, AlloyDB etc.
• Experience in Google Cloud Platform.
• Experience in one Database type to write SQLs.
• 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.