📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Google 👥 Experience Fresher 🎓 Qualification Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Google Cloud Platform Data Engineering ETL Processes BigQuery Data Warehousing Cloud Data Engineer at Google — Full Details & How to Apply Google is seeking a Cloud Data Engineer in Bengaluru, India , where freshers can leverage cutting-edge Google Cloud Platform tools to impact global data solutions. This role is a unique opportunity for recent graduates to dive into the world of data engineering and contribute to innovative projects that shape the future of technology. The demand for Cloud Data Engineer jobs is surging as companies increasingly migrate to cloud solutions, making this role pivotal for tech innovation. As organizations prioritize data-driven decision-making, skilled professionals in data engineering are becoming essential for optimizing data workflows and enhancing user experiences across various platforms. Google is recognized for its innovation and excellence. Founded in 1998 , Google employs over 156,500 people globally and is known for its data-driven products like Google Search and Google Cloud. Working at Google means being part of a culture that values creativity and collaboration, providing a stimulating environment for fresh talent. We encourage 2024, 2025, 2026 graduates with a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field to apply. This role is designed for fresher experience , making it an ideal entry point into the tech industry. The salary for this position is Not Disclosed , but the potential for growth is significant. As a Cloud Data Engineer, you will gain hands-on experience with essential skills such as Google Cloud Platform , Data Engineering , ETL Processes , BigQuery , and Data Warehousing . This role opens doors to advanced career opportunities within one of the world's leading tech firms, allowing you to build a robust professional network and develop expertise that is highly sought after in the industry. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Cloud Data Engineer at Google is tasked with designing and implementing robust data solutions using Google Cloud Platform tools, ensuring seamless data flow and storage for analytics. Design and implement ETL processes using Google Cloud Platform tools to facilitate efficient data transformation and storage. Utilize BigQuery for data analysis and reporting, enabling data-driven decision-making across various teams. Collaborate with data scientists and software engineers to integrate data solutions into existing applications, enhancing functionality. Monitor and optimize data pipelines, ensuring high performance and reliability metrics are consistently met. Take ownership of data quality initiatives, implementing best practices for data governance across projects. Document data engineering processes and create reports for stakeholders to enhance transparency and understanding. Troubleshoot data-related issues and provide effective solutions to internal teams and clients as needed. This role fosters an ownership culture, allowing you to directly impact data management and analytics at Google , driving innovation and efficiency. Required Skills & Technical Competencies The ideal candidate for the Cloud Data Engineer position must possess a strong technical skill profile to effectively manage data engineering tasks. Technical Skills Google Cloud Platform — entry — essential for managing cloud resources and services relevant to data engineering tasks. Data Engineering — entry — foundational knowledge required to design and build scalable data solutions. ETL Processes — entry — practical application in transforming raw data into usable formats for analysis. BigQuery — entry — used daily for executing complex queries and managing large datasets efficiently. Data Warehousing — entry — understanding of data storage solutions and architectures to support analytics. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and application of these technologies. Eligibility Criteria This role is designed for recent graduates eager to start their careers in data engineering at Google . Candidates must hold a Bachelor's degree in Computer Science , Engineering , Mathematics , or a related field. Eligible batches include 2024 , 2025 , and 2026 graduates, welcoming fresh talent. While the role is open to freshers, candidates with internships or relevant projects will have an advantage. A minimum academic performance of 60% or equivalent CGPA is typically expected. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting your educational background, relevant projects, and technical skills. Pro tip: Include specific examples of how you've utilized Google Cloud Platform or BigQuery in your projects to stand out in your application. Salary for Cloud Data Engineer at Google 💰 Compensation Not Disclosed The advertised compensation for the Cloud Data Engineer role at Google is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Cloud Data Engineer Upskilling with the right resources significantly enhances your chances of selection for the Cloud Data Engineer role at Google . Recommended Courses & Resources Google Cloud Platform — This course provides essential knowledge of Google Cloud services crucial for the role. KodNest — Offers practical experience in data engineering concepts and tools relevant to the job. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills for data engineering to avoid rejection. ❌ Neglecting practical experience — Showcase internships or projects to strengthen your application. ❌ Overloading with technical jargon — Use clear context to avoid confusing recruiters. ❌ Not following application instructions — Adhere to format and document requirements to prevent disqualification. ❌ Underestimating soft skills — Emphasize communication and teamwork abilities in your application. ❌ Submitting a generic cover letter — Customize your cover letter to address the specific role at Google. Before You Apply — Checklist ✅ Research Google’s culture and values to tailor your application accordingly. ✅ Update your resume to reflect relevant skills and experiences for the Cloud Data Engineer role. ✅ Prepare a compelling cover letter that highlights your interest in data engineering. ✅ Gather any necessary documents, such as transcripts or certifications, before applying. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Practice common interview questions related to data engineering and Google Cloud. ✅ Set reminders for application deadlines to avoid missing out on opportunities. ✅ Follow up on your application status through the appropriate channels. Resume Tailoring & ATS Keywords for Cloud Data Engineer Optimizing your resume for ATS is crucial for securing the Cloud Data Engineer position at Google . ATS Keywords to Include Cloud Data Engineer Google Cloud Platform ETL Processes BigQuery Data Engineering Data Warehousing Data Pipelines Data Governance Data Analysis Collaboration Problem Solving Documentation Resume Tips for This Role Highlight your technical projects that demonstrate your proficiency in Google Cloud Platform and data engineering. Emphasize teamwork and collaboration experiences, particularly in tech-related projects. Include links to your GitHub or portfolio showcasing relevant data engineering work. Optimize your resume with keywords from the job description to pass ATS screenings. Avoid including unrelated work experience that does not pertain to data engineering or technology. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including irrelevant personal information or unrelated job experiences in your resume for this role. How to Apply for Cloud Data Engineer at Google Apply Now — Google Visit the Google careers page and search for the Cloud Data Engineer position. Prepare your resume in PDF format, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all requested information. After submission, you can expect a confirmation email regarding your application status. Use the application tracking system to monitor the progress of your application. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Google NexisGrow.com does not charge any fees for job applications. Google Google was founded in 1998 in Menlo Park, California, and has since expanded its headquarters to Mountain View, California. With a workforce of over 156,500 employees , Google has established a significant presence in Bengaluru, India , contributing to its global footprint across more than 50 countries . Google offers a diverse range of products and services, including Google Search , YouTube , Google Cloud , and Android . These platforms collectively serve billions of users worldwide, showcasing the company's commitment to innovation and user-centric design. The workplace culture at Google has earned it numerous accolades, including a consistent ranking in the top 10 on Glassdoor's 'Best Places to Work' list for multiple years. Employee programs such as Google's Career Certificates provide opportunities for professional growth and skill development. Recently, Google announced a substantial $1 billion investment in its Bengaluru campus , highlighting its commitment to expanding operations in India. This investment aims to enhance its technological capabilities and foster innovation in the region. For freshers in Technology, Google serves as a robust career launchpad, offering access to industry-leading technologies such as Google Cloud Platform and mentorship from experienced professionals. This environment fosters skill development and prepares individuals for future challenges in the tech landscape. Company Details Industry Technology Location Bengaluru, India Connect With Us Careers Apply Now Website 🔗 google.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Cloud Data Engineer at Google? Eligibility Tap to expand + Answer Candidates with Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Google Cloud Platform, Data Engineering, ETL Processes, BigQuery, Data Warehousing. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Google? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Google Cloud Platform, Data Engineering, ETL Processes, BigQuery, Data Warehousing. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Cloud Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Google Cloud Platform, Data Engineering, ETL Processes, BigQuery, Data Warehousing, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Google research, (5) Clear communication. ? What is the work culture like at Google? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Google Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com