Google is hiring a Cloud Data Engineer for its Google Cloud team in Bengaluru and Hyderabad, India. If you have around 3 years of experience building data pipelines with Python, Java, Scala, Spark and Hadoop and want to work on internet-scale data problems at one of the world’s leading technology companies, this is a strong opportunity to explore in 2026.
This is a verified, currently open opening sourced directly from Google’s official careers portal. Below is a complete overview of the role, eligibility, responsibilities, required skills and the official way to apply.
Quick Overview
| Company | Google (Google Cloud) |
|---|---|
| Role | Cloud Data Engineer |
| Job Type | Full-Time |
| Location | Bengaluru, Karnataka & Hyderabad, Telangana, India |
| Work Model | On-site (travel up to 30% as required) |
| Experience Level | Mid-Level (approx. 3+ years) |
| Qualification | Bachelor’s degree in CS / Engineering / Mathematics or related field, or equivalent practical experience |
| Date Posted | June 2026 |
| Apply Mode | Online (Official Google Careers portal) |
About the Role
As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore or visualize data on the Google Cloud Platform. You will work on data migration and modernization projects, partner with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform or product challenges. The role also requires knowledge of data governance and security controls, and you will occasionally travel to customer sites to deploy solutions and run enablement workshops.
Google Cloud helps organizations across more than 200 countries digitally transform their business with enterprise-grade solutions built on Google’s technology. In this role you will work closely with Product Management and Product Engineering teams to continuously drive excellence in the products.
Key Responsibilities
- Translate complex 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.
- Design, build and operationalize data storage and processing infrastructure using cloud-native products.
- Design and implement data migration strategies for various database types (e.g., PostgreSQL, Oracle, AlloyDB).
- Develop and implement data quality and governance procedures to ensure accuracy and reliability of data.
- Create communication strategies, manage risks and issues, and track project status, matrices and timelines.
Eligibility / Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field, or equivalent practical experience.
- 3 years of experience developing and troubleshooting data processing algorithms and software 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 with data warehouses, including technical architectures, infrastructure components, ETL/ELT and reporting/analytics tools and data structures.
- Experience in Big Data, information retrieval, data mining or machine learning.
- Experience building multi-tier, high-availability applications with modern technologies such as NoSQL, MongoDB and SparkML.
- Experience architecting and developing internet-scale, production-grade Big Data solutions in virtualized environments.
- Experience with Infrastructure-as-Code and CI/CD tools like Terraform, Ansible and Jenkins.
Skills That Help You Stand Out
Python, Java, Scala, Apache Spark, Hadoop, Google Cloud Platform (GCP), BigQuery, ETL/ELT pipelines, data warehousing, NoSQL and MongoDB, machine learning fundamentals, and Infrastructure-as-Code tools such as Terraform, Ansible and Jenkins.
Salary & Benefits
The salary for this role is not publicly disclosed by Google for this posting. Google is widely regarded as one of the world’s most desirable employers and is known for offering highly competitive compensation along with a comprehensive benefits package covering health, wellbeing, learning and more. Exact compensation is typically shared by the recruiter during the hiring process.
How to Apply
Applications are accepted only through the official Google Careers portal. Click the button below to open the verified job posting, review the full details on Google’s site, and submit your application directly.
Official source: Google Careers — google.com/about/careers
Disclaimer
itreferraljobs.in is a job-information platform and is not a recruiter or hiring agency. We share publicly available openings to help job seekers discover opportunities. We never charge any fee for job applications. Job details, eligibility and deadlines can change at any time — always verify the latest information on the official Google Careers page before applying. Google never asks candidates for payment during the recruitment process.
Frequently Asked Questions (FAQ)
1. What is the role of a Cloud Data Engineer at Google?
A Cloud Data Engineer guides customers on how to ingest, store, process, analyze and visualize data on Google Cloud Platform, designs data processing systems and scalable pipelines, leads migration and modernization to GCP, and implements data quality and governance controls.
2. What are the minimum qualifications for this job?
You need a Bachelor’s degree in CS, Engineering, Mathematics or a related field (or equivalent practical experience) plus 3 years of experience developing data processing software using Python, Java, Scala, Spark and Hadoop, and experience with at least one public cloud provider such as GCP.
3. What is the location for this position?
The role is based in India, with preferred working locations of Bengaluru, Karnataka and Hyderabad, Telangana. It may require travel up to 30%.
4. How can I apply for the Google Cloud Data Engineer job in 2026?
Apply only through the official Google Careers website using the Apply button above. Google does not charge any fee for applications.
5. Is this role suitable for freshers?
This is a mid-level role requiring about 3 years of relevant experience, so it is best suited for early-career to mid-level professionals. Candidates with strong data engineering projects and equivalent practical experience are encouraged to apply.
