Google

Strategic Cloud Engineer, Data Analytics

Posted On

June 24, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

July 10, 2025

Job Description

Interact with stakeholders to translate customer requirements into recommendations for solution architectures and advisory services.
Engage with technical leads, and partners to lead 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 project requirements and organize them into goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

Minimum qualifications:

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 Google Cloud Platform.
Experience in data processing frameworks and Google Cloud Platform with investigative and transactional data stores like BigQuery, CloudSQL, AlloyDB, etc.

Preferred qualifications:

Experience in Big Data, information retrieval, data mining, or Machine Learning.
Experience in building applications with modern technologies like NoSQL, MongoDB, SparkML, and TensorFlow.
Experience with architecting, developing software, or internet production-grade Big Data solutions in virtualized environments.
Experience with Infrastructure as Code (IaC) and CI/CD tools like Terraform, Ansible, Jenkins, etc.
Experience with encryption techniques like symmetric, asymmetric, Hardware Security Module (HSMs) and envelop with ability to implement secure key storage using Key Management System.
Experience in working with data warehouses, including technical architectures, infrastructure components, ETL/ELT and reporting tools, environments, and data structures.

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 Google Cloud Platform.
Experience in data processing frameworks and Google Cloud Platform with investigative and transactional data stores like BigQuery, CloudSQL, AlloyDB, etc.

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and 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 (GCP). 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 platform/product tests. You will have an 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 drive excellence in 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.

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