📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Google 👥 Experience 3+ Years 🎓 Qualification Bachelor’s in Computer Science, Mathematics, or related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Hadoop Spark Hive MapReduce Java Python Go Data Engineering Data Engineer at Google — Full Details & How to Apply Google is seeking a talented Data Engineer to join its innovative team in Bengaluru, India . This role offers a unique opportunity to shape data-driven decisions in a leading technology company, where your contributions will directly impact business outcomes and customer experiences. In today’s data-centric world, the role of a Data Engineer is more crucial than ever. Organizations are increasingly relying on data to drive strategic decisions and enhance customer experiences. With the rise of big data technologies and analytics, professionals skilled in Hadoop , Spark , and MapReduce are in high demand. As a Data Engineer , you will play a pivotal role in designing and implementing data pipelines that facilitate the flow of information across various platforms, enabling teams to derive actionable insights that drive business growth. Google stands out as a premier employer, offering cutting-edge technology and a collaborative environment that fosters innovation and creativity. With a commitment to employee development and a culture that encourages continuous learning, Google provides an ideal setting for Data Engineers to thrive. The company’s investment in state-of-the-art tools and technologies ensures that you will work on projects that are not only challenging but also rewarding, allowing you to stay at the forefront of the industry. This opportunity is ideal for both freshers and candidates with up to 3 years of experience looking to elevate their careers in a dynamic and supportive environment. Candidates must hold a B.Tech, B.E., MCA, or M.Tech degree, with eligible batches being 2023, 2024, 2025, and 2026 passouts. A minimum of 60% aggregate in academics is preferred, and prior internship or hands-on project experience is a strong advantage. As a Data Engineer at Google , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will also have the opportunity to collaborate with cross-functional teams, enhancing your problem-solving and communication skills . This role not only allows you to contribute to significant projects but also positions you for rapid career advancement within a globally recognized organization. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring that you have the most accurate and up-to-date information to apply online for this exciting Data Engineer position at Google . Job Role & Responsibilities The role of a Data Engineer at Google is pivotal in shaping the data landscape of the organization. As a key player in data management, you will design and implement robust data pipelines that ensure efficient data flow and accessibility across various platforms. Design and implement robust data pipelines that ensure efficient data flow and accessibility across various platforms. Utilize Hadoop , Spark , and Hive to process large datasets, ensuring high performance and reliability in data handling. Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet business needs. Monitor and optimize data systems, focusing on performance metrics and data integrity to ensure seamless operations. Take ownership of projects, driving innovation in data engineering practices while continuously learning and adapting to new technologies. Document data workflows and processes to facilitate knowledge sharing and maintain clarity across teams. Identify and troubleshoot data-related issues , proposing innovative solutions to enhance data quality and operational efficiency. Participate in code reviews and contribute to the development of best practices in data engineering. Engage in cross-functional team meetings to align on project goals and deliverables. This role fosters a culture of ownership, encouraging you to drive initiatives that impact data strategy and operational efficiency at Google . Required Skills & Technical Competencies The ideal candidate for the Data Engineer position at Google will possess a diverse skill set that combines technical expertise with collaborative capabilities. This role demands proficiency in data processing technologies and strong programming skills to effectively manage large datasets. Technical Skills Hadoop (Advanced) — essential for managing large-scale data processing, enabling efficient storage and retrieval of data. Spark (Intermediate) — crucial for real-time data processing, allowing for faster analytics and insights generation. Hive (Intermediate) — integral to data querying and processing, facilitating effective data analysis. MapReduce (Intermediate) — utilized for processing and generating large data sets, ensuring high performance. Java (Advanced) — necessary for developing data applications and automating data workflows. Python (Advanced) — used for scripting and data manipulation, enhancing workflow automation. Go (Intermediate) — beneficial for building scalable data services and applications. Soft Skills & Professional Competencies Problem-solving — ability to identify and resolve data-related issues effectively. Collaboration — working effectively with cross-functional teams to achieve project goals. Communication skills — articulating complex data concepts to non-technical stakeholders. Time management — prioritizing tasks to meet deadlines in a fast-paced environment. Good to Have (Bonus) Apache Kafka — experience with stream processing and real-time data pipelines. Docker — familiarity with containerization for deploying data applications. SQL — proficiency in querying databases for data extraction and analysis. To showcase these skills in your resume or interview for the Data Engineer role at Google , highlight relevant projects, contributions to open-source platforms, and any certifications that demonstrate your technical competencies. Eligibility Criteria This role is designed for candidates who are eager to embark on a career in data engineering and possess the necessary educational background and experience. Ideal candidates will have a strong foundation in computer science or related fields. Candidates must hold a Bachelor’s degree in Computer Science, Mathematics, or a related field . Eligible batches: 2023, 2024, 2025, and 2026 passouts. A minimum of 3+ years of relevant experience is preferred. A CGPA of 7.5 or above is preferred, reflecting strong academic performance in technical subjects. Prior internship or hands-on project experience is a strong advantage. Projects or contributions to open-source platforms, particularly on GitHub , can significantly strengthen your application. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your technical skills, relevant projects, and any certifications. Include a link to your GitHub profile or portfolio showcasing your work in data engineering. Pro Tip: Tailor your application to emphasize your experience with Hadoop , Spark , and collaborative projects to improve your application success rate for the Data Engineer role at Google . Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy for the Data Engineer role at Google emphasizes providing a competitive salary that aligns with industry standards, ensuring that employees feel valued and motivated. While the salary is not disclosed, Google is renowned for its comprehensive compensation packages that reflect the skills and experience of its workforce. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — attractive contributions to provident fund and pension schemes Performance Bonuses — annual performance bonuses based on individual and company performance Stock Options — opportunity to own a part of Google through stock options Flexible Work Hours — accommodating work schedules to support work-life balance Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Subsidized Meals — healthy meals provided at subsidized rates in the office Transportation Allowance — support for commuting expenses Wellness Programs — initiatives focused on mental and physical well-being Remote Work Options — flexibility to work from home as needed Career Progression & Salary Growth At Google , employees can expect regular appraisal cycles, typically occurring annually, with raise percentages that align with industry norms, often ranging from 10% to 20% . The company promotes a culture of rapid career advancement , with clear promotion timelines and opportunities for internal mobility, ensuring that employees can grow their careers effectively. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences that align with the Data Engineer role, and be prepared to discuss industry benchmarks. Selection Process The hiring philosophy at Google focuses on identifying candidates who not only possess the necessary technical skills but also fit well within the company culture. The selection process is designed to be thorough, ensuring that the best candidates are chosen for the Data Engineer role. 1 Round 1: Initial Screening — HR conducts an initial review of applications to assess qualifications and fit for the role. 2 Round 2: Technical Interview — Focuses on data engineering concepts, tools, and problem-solving skills, often involving coding challenges. 3 Round 3: Behavioral Interview — Assesses cultural fit and collaboration skills, usually conducted by team leads or managers. 4 Final Stage: Offer Presentation — After successful interviews, an offer is presented, followed by a background check to verify all information. What Each Round Tests Round 1 primarily tests your resume and qualifications, while Round 2 dives deep into your technical knowledge of data engineering concepts and tools. Round 3 evaluates your communication skills and ability to work in a team environment. Timeline & Expectations The entire selection process may take approximately 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps throughout the process. Interview Prep Tip: Familiarize yourself with Google's interview style by practicing coding challenges and behavioral questions to showcase your problem-solving abilities. How to Apply for Data Engineer at Google Apply Now — Google Create a Profile — Click the Apply button to access the application portal and create your profile. Upload Your Resume — Highlight relevant skills and experiences that align with the Data Engineer role. Fill in the Application Form — Provide all necessary details accurately to avoid delays. Track Your Application — Monitor your application status through the portal for updates. Prepare for Assessments — Be ready for potential technical assessments following your application submission. Resume & Profile Tips for This Role Highlight Technical Skills — Emphasize your proficiency in Python , SQL , and data engineering tools . Showcase Relevant Projects — Include any hands-on project experience related to data engineering . Detail Your Education — Mention your B.Tech in Computer Science or equivalent degree clearly. Demonstrate Problem-Solving Skills — Provide examples of how you've tackled complex problems in previous roles. While the application deadline is not specified, early applications are encouraged to enhance your chances of consideration. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Engineer role at Google? Eligibility Tap to expand + Answer Candidates must have a Bachelor's degree in Computer Science or related fields, with eligibility for batches 2023-2026 and a minimum of 3 years of experience. ? What is the interview process for Data Engineer at Google? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focused on data engineering skills, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Hadoop, Spark, Hive, and MapReduce, alongside programming languages like Java and Python for data processing. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While the salary is not disclosed, Google offers competitive compensation packages and performance bonuses aligned with industry standards. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bengaluru, but Google may offer flexible work arrangements depending on team needs. ? What is the career growth path after joining Google as a Data Engineer? Growth Tap to expand + Answer Expect a structured growth roadmap with opportunities for promotions and skill development within 6-12 months and 2-3 years. ? How should I prepare for the Data Engineer interview at Google? Preparation Tap to expand + Answer Focus on mastering data engineering concepts, practicing coding challenges, and preparing for behavioral questions related to teamwork. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant skills and experiences, along with any supporting documents. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period of 3-6 months, focusing on performance evaluation and integration into the team. ? What is the work culture like at Google? Culture Tap to expand + Answer Google's culture emphasizes collaboration, innovation, and diversity, fostering an environment where employees are encouraged to learn and grow. 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