📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Google 👥 Experience 2-5 years 🎓 Qualification Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills SQL Python Java BigQuery Hadoop Spark data visualization tools Tableau Looker Data Engineer – Analytics, Insights and Measurement at Google — Full Details & How to Apply Step into the future of technology with Google as a Data Engineer – Analytics, Insights and Measurement in Bengaluru, India . This role is pivotal for transforming data into actionable insights that shape decision-making. In an era where data drives business strategy, the Data Engineer role at Google is crucial for harnessing analytics to inform key decisions across various teams. The demand for skilled Data Engineers is surging as organizations increasingly rely on data-driven insights to enhance operational efficiency and product development. With the rise of big data technologies and analytics tools, the Data Engineer – Analytics, Insights and Measurement position at Google offers an unparalleled opportunity to work at the forefront of technological innovation. As businesses pivot towards data-centric strategies, your role will be essential in shaping the future landscape of the tech industry. What makes Google stand out as an employer for this role is its commitment to fostering creativity and collaboration within a vibrant work environment. Known for its innovative culture, Google encourages its employees to explore new ideas and push the boundaries of technology. The company’s dedication to employee growth and development ensures that you will not only contribute to groundbreaking projects but also advance your career in a supportive atmosphere. This opportunity is ideal for both freshers and candidates with up to 5 years of experience . If you hold a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field and are among the 2023, 2024, 2025, and 2026 graduates, you are encouraged to apply. Your background in data analytics and engineering will be crucial as you take on responsibilities that directly influence product development and operational efficiency. As a Data Engineer – Analytics, Insights and Measurement at Google , you will gain invaluable skills in cloud architecture , production-grade Java development , and Agile workflows . You will also have the chance to work with cutting-edge technologies such as BigQuery , Hadoop , and data visualization tools like Tableau and Looker . This role not only enhances your technical expertise but also equips you with the analytical skills necessary to transform complex data into insightful analytics. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you're ready to take the next step in your career, don't miss out on this chance to join Google as a Data Engineer – Analytics, Insights and Measurement . Apply online today and be part of a team that is shaping the future of technology. Job Role & Responsibilities The role of a Data Engineer – Analytics, Insights and Measurement at Google is pivotal in shaping data-driven decision-making across the organization. By designing and implementing robust data pipelines , you will ensure that analytics teams have seamless access to high-quality data, which is essential for driving strategic initiatives. Design and implement robust data pipelines to facilitate seamless data flow across various analytics platforms at Google . Utilize SQL , Python , and BigQuery to extract, transform, and load (ETL) data, ensuring high data quality and accessibility for analytics teams. Collaborate with cross-functional teams , including data scientists and product managers, to define data requirements and deliver actionable insights. Analyze data trends and metrics to provide insights that drive strategic decisions, enhancing product performance and user engagement. Take ownership of data projects, driving continuous improvement and innovation in data processing techniques and methodologies. Document data processes and create comprehensive reports to communicate findings and recommendations to stakeholders effectively. Identify and troubleshoot data-related issues, employing problem-solving skills to enhance data reliability and performance. Participate in code reviews and contribute to best practices in data engineering to maintain a high standard of work. Stay updated with the latest trends and technologies in data engineering to ensure Google remains at the forefront of analytics capabilities. This role embodies an ownership culture where you will not only contribute to projects but also drive innovation and improvements in data processing methodologies, making a significant impact on the organization’s analytics capabilities. Required Skills & Technical Competencies The ideal candidate for the Data Engineer – Analytics, Insights and Measurement position at Google will possess a strong skill profile that combines technical expertise with analytical prowess. This blend is crucial for effectively managing and interpreting large datasets to derive actionable insights. Technical Skills SQL (Advanced) — essential for querying large datasets, enabling you to derive insights that inform business strategies. Python (Intermediate) — necessary for data manipulation and automation of data workflows, enhancing efficiency in analytics processes. BigQuery (Intermediate) — used to manage and analyze vast amounts of data effectively, ensuring high performance and scalability. Hadoop (Intermediate) — experience required for handling distributed data processing and storage. Spark (Intermediate) — utilized for large-scale data processing and real-time analytics. Data Visualization Tools (Tableau, Looker) — crucial for presenting data insights in a user-friendly manner. Soft Skills & Professional Competencies Analytical thinking — ability to interpret complex data sets and translate them into actionable business insights. Effective communication skills — essential for conveying technical information to non-technical stakeholders. Collaboration — working effectively with cross-functional teams to achieve common goals. Time management — managing multiple projects and deadlines efficiently. Good to Have (Bonus) Cloud Platforms (GCP, AWS) — familiarity with cloud services for data storage and processing. Machine Learning Basics — understanding of machine learning concepts to enhance data analysis capabilities. Data Governance Knowledge — awareness of data privacy regulations and best practices. To showcase these skills in your resume or during interviews for the Data Engineer – Analytics, Insights and Measurement role at Google , highlight relevant projects, internships, and any hands-on experience with the mentioned tools and technologies. Eligibility Criteria This role is designed for candidates who are eager to start their careers in data engineering and analytics. It is ideal for 2023, 2024, 2025, and 2026 graduates who possess a strong academic background and relevant technical skills. Candidates must hold a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field . Eligible batches include 2023, 2024, 2025, and 2026 passouts. A minimum CGPA of 7.0 is preferred, reflecting a strong academic background in relevant subjects. Prior internship or hands-on project experience is a strong advantage. Strong foundational knowledge in data engineering tools and techniques is essential. Documentation & Portfolio Requirements Prepare a resume that highlights your educational qualifications, relevant skills, and any projects related to data engineering. Include a GitHub portfolio showcasing your coding projects and any certifications relevant to data analytics or engineering. Pro Tip: Tailor your application to emphasize your hands-on experience with data tools and any projects that demonstrate your ability to solve real-world data challenges. Salary & Benefits 💰 Compensation Not Disclosed Not Disclosed The compensation philosophy at Google for the role of Data Engineer – Analytics, Insights and Measurement emphasizes offering competitive salary packages that align with industry standards. This ensures that employees feel valued and motivated to contribute to the company's success. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — attractive provident fund and pension schemes Paid Time Off — generous vacation days and sick leave Performance Bonuses — annual bonuses based on individual and company performance Stock Options — opportunity to own shares in Google Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Flexible Working Hours — options for remote work and flexible schedules Free Meals — complimentary meals and snacks at the office Transportation Services — shuttle services for commuting employees Wellness Programs — initiatives promoting physical and mental health Career Progression & Salary Growth At Google , the appraisal cycles are typically held annually, with raises ranging from 10% to 15% based on performance. Employees can expect regular feedback and opportunities for promotions, often within 1 to 2 years of joining. The internal mobility policy encourages movement across teams, allowing for rapid career advancement . NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences that align with the Data Engineer role, and research industry standards to support your request. Selection Process The hiring philosophy at Google focuses on identifying candidates who not only possess the necessary technical skills but also align with the company’s culture and values. The selection process is designed to be thorough and fair, ensuring that the best candidates are chosen for the Data Engineer role. 1 Round 1: Initial Screening — Review of applications to assess qualifications and fit for the role based on submitted resumes. 2 Round 2: Technical Interview — Focus on data engineering skills, including problem-solving and coding challenges. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and alignment with Google 's values and mission. 4 Final Stage: Offer Stage — Includes background checks and discussions around salary and benefits. What Each Round Tests Round 1 assesses your qualifications and experience relevant to the Data Engineer role. Round 2 dives deep into your technical capabilities, focusing on data structures and algorithms . Round 3 evaluates your communication skills and how well you align with Google 's culture. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Google regarding their application status and next steps. Interview Prep Tip: Familiarize yourself with Google 's core values and be prepared to discuss how your experiences align with them during the behavioral interview. How to Apply for Data Engineer – Analytics, Insights and Measurement at Google Apply Now — Google Create a Profile — Click the Apply button and set up your profile on Google 's careers page. Upload Your Resume — Highlight relevant skills and projects that align with the Data Engineer role. Fill Out the Application Form — Provide all necessary details and ensure accuracy. Track Your Application — Regularly check your email for updates and next steps. Prepare for Assessments — Be ready for any assessments that may be part of the screening process. Resume & Profile Tips for This Role Highlight Technical Skills — Focus on Python , SQL , and data engineering projects. Showcase Problem-Solving Experience — Include examples where you tackled complex data challenges. Demonstrate Team Collaboration — Mention experiences working with cross-functional teams . Include Relevant Certifications — List any certifications related to data engineering or analytics. Note that applications are reviewed on a rolling basis, so applying early can significantly increase 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 a relevant field, be from the eligible batches (2023-2026), and possess 2-5 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 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 SQL, Python, BigQuery, and Hadoop, along with data visualization tools like Tableau and Looker. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary is not disclosed, but Google offers competitive compensation packages and performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Bengaluru, with potential for hybrid 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 path with opportunities for promotions and lateral moves within the company based on performance. ? How should I prepare for the Data Engineer interview at Google? Preparation Tap to expand + Answer Focus on brushing up on SQL, Python, and data engineering concepts, and practice problem-solving and coding challenges. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, and ensure your resume highlights relevant skills and experiences in data engineering. ? 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 promotes a collaborative and inclusive culture, emphasizing continuous learning, innovation, and employee well-being. 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