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Updated 2026-06-20 04:00 UTC·© 2025–2026 RoleSuite
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Cloud Data Engineer

Google · Bengaluru, Karnataka, India

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 data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have knowledge of data governance and security controls. 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.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • 3 years of experience in developing and troubleshooting data processing algorithms and softwares using Python, Java, Scala, Spark and hadoop frameworks.
  • Experience working with one or more public cloud providers (e.g., Google Cloud Platform).
  • Ability to travel up to 30% as required.

Preferred qualifications:

  • Experience in working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
  • Experience in Big Data, information retrieval, data mining, or machine learning.
  • Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB and SparkML.
  • Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
  • Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc.

Data & ML pay context

Based on 1,378 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $106K–$246K).

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