Apply for this high-paying Cloud Data Engineer role at Google — Hybrid in major Indian cities, excellent perks, top salary in 2025.
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🔥 High-Paying Cloud Data Engineer Role at Google — Freshers & Experienced (2025)
Why Choose Google? 🏢
Google tops innovation charts globally, providing cutting-edge Cloud solutions used by millions. With a mission to accelerate digital transformation, the Google Cloud Platform (GCP) empowers developers, startups, and enterprises worldwide. Their culture fosters continuous learning, collaboration, and impact—no wonder they rank among the top trusted tech employers.
Job Summary
Join Google’s GCP team to design, build, and operationalize large-scale data infrastructure. You’ll work with customers across Gurugram, Bengaluru, or Hyderabad to build robust pipelines and ensure smooth data migrations. Deep dive into cloud-native ETL, governance, and scalable architectures.
Key Responsibilities 🔧
✅ Interact with stakeholders to translate complex requirements into scalable architectures
✅ Lead data migration and modernization projects on GCP
✅ Design, build, and operationalize data storage and processing infrastructure
✅ Develop data quality and governance protocols
✅ Structure project requirements into goals and manage deliverables
✅ Deploy workshops and solutions at customer sites
✅ Debug and troubleshoot data processing pipelines
Who Can Apply? ✅
🎓 Bachelor’s degree in Engineering, CS, or equivalent practical experience
💼 0–2 years of experience in Analytics, Data Engineering, or related domains
🧠 Proficient coding skills in Java, C/C++, or Python
📊 Experienced in distributed data processing frameworks and modern databases
📌 Solid SQL skills and familiarity with ETL/ELT pipelines
📚 Background with NoSQL, MongoDB, Terraform, Ansible, or CI/CD is a plus
No additional assumptions added beyond job description.
Apply for a high-paying Data Engineer role at Motorola Solutions in Bangalore
Work Location & Type 🌍
Preferred work locations: Gurugram, Haryana; Bengaluru, Karnataka; Hyderabad, Telangana.
Work type: Hybrid (exact remote/hybrid schedule not specified).
Salary Insights 💰
Entry-level Data Engineers in India typically earn ₹4–6 LPA, rising to ₹8–15 LPA for 3–5 years of experience. At Google Cloud, one can expect ₹24.5 LPA base + ₹11.6 LPA stock/bonus on average. So, up to ₹35 LPA total compensation is competitive for experienced hires.
About Google Cloud 🏢
Google Cloud drives enterprise-grade solutions with a global infrastructure in over 200 countries. It combines AI-led innovation—like Tiny ML and Vertex AI—with a relentless focus on security and scalability. Teams collaborate with customers to build secure, modern data practices, driving transformative outcomes and establishing Google as a top-tier employer in tech.
Perks & Benefits 🎁
Based on public sources and internal insights for GCP roles:
- 💵 Competitive base + stock grants + annual bonuses
- 🧠 Access to Google Cloud certifications and learning paths
- 🧘♀️ Holistic wellness: healthcare, counseling programs
- 🌴 Flexible hybrid model & paid parental leave
- 🌎 Global mobility & cross-functional exposure
- 📝 Learning support via internal resources & conferences
📢 How to Apply for Google Recruitment 2025?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
If you face any issues while applying. Do let us know in the comment section
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FAQs ❓
What is the selection process?
Expect a multi-stage approach: resume screen → recruiter call → technical phone screen → virtual onsite (coding, system design, behavioral) → hiring committee review.
Does this role support remote work?
Hybrid model is mentioned. The specific on-site/remote schedule isn’t detailed in the JD.
What skills are preferred?
Strong in cloud-native ETL pipelines (Python, PySpark, Airflow), SQL, BigQuery, NoSQL, and IaC tools. Also, stakeholder interaction is key.
When is the last date to apply?
The JD doesn’t specify an application deadline—recommend applying soon to maximize chances.
