What is the salary of a cloud data engineer at Google?

 

🌥️ What is Cloud Data Engineering at

Quality Thought?

Quality Thought offers training programs to help you become a Cloud Data Engineer using top cloud platforms like:

  • Google Cloud Platform (GCP)

  • Microsoft Azure

  • Amazon Web Services (AWS)

📚 What You'll Learn

  • How to build data pipelines in the cloud

  • How to work with big data tools like Spark, BigQuery, etc.

  • How to manage cloud storage, compute, and databases

  • How to make data systems fast, secure, and scalable

💡 Courses Offered

  1. GCP Cloud Data Engineering
    Learn to build and manage data workflows using tools like BigQuery, Dataflow, and Pub/Sub.

  2. Azure Data Engineer Training
    Understand services like Azure Data Factory, Databricks, and Synapse for handling cloud data.

  3. AWS Data Engineering with Analytics
    Learn S3, Glue, Redshift, and other AWS tools to process and analyze data.

✅ Why Choose Quality Thought?

  • Live classes with experts

  • Hands-on projects

  • Certifications after course completion

  • Practice tests to track your progress

  • Community support to learn with others

 The salary of a Cloud Data Engineer at Google varies based on location, experience, and role level. Here's an overview:

🇮🇳 India (e.g., Hyderabad, Bengaluru)

  • Entry-Level (0–2 years): ₹12–20 LPA

  • Mid-Level (3–5 years): ₹20–35 LPA

  • Senior-Level (6+ years): ₹35–60+ LPA

These figures include base salary, bonuses, and stock options. Google's compensation packages are competitive, often exceeding industry averages.

🇺🇸 United States

  • Entry-Level (L3): $120K–$150K base + bonuses + equity

  • Mid-Level (L4): $150K–$200K base + bonuses + equity

  • Senior-Level (L5 and above): $200K–$300K+ total compensation

Total compensation includes base salary, performance bonuses, and Restricted Stock Units (RSUs).

💼 Key Factors Influencing Salary

  • Experience Level: More experience typically leads to higher compensation.

  • Role Level: Google's internal leveling system (e.g., L3, L4, L5) impacts salary.

  • Location: Salaries are adjusted based on the cost of living in different regions.

  • Skills and Certifications: Expertise in tools like BigQuery, Dataflow, and certifications can enhance earning potential.

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