Data & Automation Intern

Google’s internship interview typically consists of an online coding assessment followed by two technical rounds focusing on data manipulation, SQL queries, and Python automation. The difficulty is moderate to high, with an emphasis on problem‑solving speed and clarity of thought. Candidates should practice data‑cleaning scenarios and be prepared to discuss past projects, as well as demonstrate effective communication during the HR round.

Docs.google.com inherits Google’s renowned work culture that emphasizes openness, psychological safety, and a bias for action. Employees enjoy generous learning resources, mentorship programs, and a healthy work‑life balance supported by flexible hours and remote‑first policies. Growth opportunities are abundant, with clear pathways to transition from intern to full‑time roles across product, data, and engineering teams.

Eligible candidates should be pursuing or have completed a B.Tech/M.Tech/MCA/BS in Computer Science, Information Technology, Electronics & Communication, or related fields. Minimum aggregate of 60% (or CGPA 6.0/10) is required. Candidates from the 2025, 2026 or 2027 graduating batches are welcome. A maximum of two active backlogs is permissible, provided they are cleared before the internship start date. Strong analytical mindset and willingness to learn are essential.

Round 1: Online assessment – coding problems and aptitude questions → Round 2: Technical interview – data handling, SQL, Python, and automation concepts → Round 3: HR interview – cultural fit, communication skills, and internship expectations

Google, a global technology leader, has built a reputation for creating products that shape the way billions of people interact with information. With a culture that encourages curiosity, collaboration, and continuous learning, Google offers an environment where fresh talent can contribute to real‑world problems while growing alongside some of the brightest minds in the industry. The company’s Indian operations span multiple cities, but its emphasis on remote and hybrid work models ensures that interns can access the same resources and mentorship regardless of location. As part of the broader Google ecosystem, docs.google.com serves as a critical platform for documentation, collaboration, and knowledge sharing across teams, making it an ideal place for aspiring data professionals to gain hands‑on experience. The Data & Automation Intern role is designed for students who are eager to dive deep into data pipelines, visualization, and workflow automation. Interns will work closely with product, analytics, and engineering teams to ingest data from varied sources such as Excel sheets, CSV files, and Google BigQuery. They will be responsible for cleaning, transforming, and modeling data to create actionable insights. Using Power BI and Zoho Analytics, interns will build interactive dashboards that enable stakeholders to monitor key performance indicators in real time. Additionally, they will develop Python scripts leveraging Selenium and Playwright to automate repetitive tasks, thereby increasing operational efficiency. Key Responsibilities: 1. Extract, clean, and transform data from Excel, CSV, and cloud data warehouses like BigQuery. 2. Design, develop, and publish interactive dashboards in Power BI and Zoho Analytics. 3. Write Python automation scripts to streamline data workflows and internal processes. 4. Implement web‑automation solutions using Selenium and Playwright for data collection and reporting. 5. Collaborate with cross‑functional teams to gather requirements and translate them into technical specifications. 6. Conduct data quality checks and ensure consistency across multiple data sources. 7. Document data pipelines, dashboard logic, and automation scripts for future maintenance. 8. Participate in code reviews and adopt best practices for version control and testing. 9. Provide ad‑hoc analytical support to business units as needed. 10. Suggest improvements to existing tools and propose new solutions to enhance productivity. Tech Stack: Power BI, Zoho Analytics, Python, SQL, BigQuery, Selenium, Playwright, Excel, Git. Growth Path: Successful interns may receive full‑time offers to join Google’s Data Analytics or Automation Engineering teams, where they can advance to roles such as Data Analyst, Business Intelligence Engineer, or Automation Engineer. The exposure to large‑scale data environments and cutting‑edge automation tools provides a solid foundation for a career in data‑driven decision making. Why Join: Interning at Google offers unparalleled access to world‑class mentors, state‑of‑the‑art infrastructure, and a culture that celebrates innovation. Interns gain practical experience that directly impacts product development, while also benefiting from professional development programs, networking events, and a supportive community that values diversity and inclusion.