Google is recruiting for the role of Cloud Data Engineer to enable their large enterprise customers to build scalable data pipelines on Google Cloud Platform (GCP). The position is based in Bengaluru, Karnataka. If you enjoy working with big data and cloud computing, working on complex IT issues, and engaging with enterprise clients, this could be a good professional opportunity. If you’re searching for a Google Cloud Job or exploring Google Cloud Data Engineer Vacancies, this guide explains everything you need to know before applying.
Google Cloud Engineer Job Description
| Category | Details |
|---|---|
| Job Title | Cloud Data Engineer |
| Company | |
| Department | Google Cloud |
| Job Type | Full-Time |
| Work Location | Bengaluru, Karnataka, India |
| Other Preferred Location | Hyderabad, Telangana, India |
| Industry | Information Technology (IT) / Cloud Computing |
| Experience Required | Minimum 3 Years |
| Education | Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience) |
| Application Mode | Online |
| Travel Requirement | Up to 30% (Customer Visits & Workshops) |
| Work Environment | Hybrid / Office (Based on Business Needs) |
| Official Career Portal | Google Careers |
Google Cloud Data Engineer Vacancies Eligibility Criteria
Candidates should have a Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Knowledge of three years of creating data processing applications using Python, Java, Scala, Apache Spark, and Hadoop is a must. Candidates should also have a working knowledge of a public cloud platform with experience in GCP a bonus.
Required for Google Cloud Data Engineer Job Skills
Looking for a successful Cloud Engineer Job with expertise in one of the following: Python, Java, or Scala, good SQL and data warehousing skills. Experience with Apache Spark, Hadoop and GCP is a must as well as domain knowledge of ETL/ELT pipelines, BigQuery, Cloud Storage, data governance, MongoDB. Knowledge of CI/CD, IaC experience with Terraform, Jenkins and Ansible is a bonus.
| Category | Required Knowledge |
|---|---|
| Data Warehousing | Data Warehouse Architecture |
| ETL / ELT | Strong Knowledge |
| Analytics Tools | Reporting & BI Tools |
| Machine Learning | Preferred |
| Big Data | Information Retrieval & Data Mining |
| NoSQL Database | MongoDB |
| High Availability Applications | Experience Preferred |
| Infrastructure as Code | Terraform |
| Automation | Ansible |
| CI/CD | Jenkins |
| SparkML | Preferred |
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Job Responsibilities
As a Gogle Data Engineer, you would work directly with customers to modernize their data infrastructure on Google Cloud.
| Responsibility | Description |
|---|---|
| Customer Interaction | Understand customer business requirements |
| Cloud Migration | Lead migration projects to Google Cloud |
| Solution Architecture | Design cloud-based data solutions |
| Data Pipelines | Build scalable data processing pipelines |
| Database Migration | PostgreSQL, Oracle, AlloyDB migration |
| Data Governance | Maintain data quality & security |
| Risk Management | Monitor project risks |
| Documentation | Prepare reports & project documents |
| Stakeholder Management | Coordinate with internal & external teams |
| Technical Workshops | Train customers on Google Cloud |
Google Cloud Data Engineer Salary in India
Though there is no public information available from Google on the salary of this role, when you get down to the specifics, a Cloud Data Engineer in India usually earns:
| Experience | Estimated Salary (Annual) |
|---|---|
| 3–5 Years | ₹15 LPA – ₹25 LPA |
| 5–8 Years | ₹25 LPA – ₹40 LPA |
| Senior Engineer | ₹40 LPA – ₹60+ LPA |
Google Job Apply for Required Documents
| Document | Mandatory |
|---|---|
| Updated Resume | Yes |
| Educational Certificates | Yes |
| Experience Letter | Yes |
| Government ID Proof | Yes |
| Passport Size Photo | Optional |
| Cloud Certifications | Recommended |
| Project Portfolio | Recommended |
| GitHub Profile | Recommended |
| LinkedIn Profile | Recommended |
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