Data Engineer

Data Engineer _corporate_fare_ Google _place_ Bengaluru, Karnataka, India **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 4 years of experience in a data engineering, data infrastructure, or data analytics role. + Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript. **Preferred qualifications:** + Master’s degree in a relevant field. + 5 years of experience in a data engineering, data infrastructure, or data analytics role. + Experience delivering and maintaining complex data projects from conception to production. **About the job** As a Data Engineer, you will take a significant role in designing and building the next generation of our data infrastructure. You will be responsible for architecting, implementing, and optimizing complex and scalable data pipelines, moving beyond basic development to own key components of our data warehouse. This role requires a strong technical expert who can manage massive datasets, write highly efficient SQL and Python code, and collaborate effectively with senior stakeholders and other engineers. You will not only build innovative data foundations, and AI-driven insights solutions, but also help define the standards and best practices that elevate the entire team, driving data quality and AI-readiness initiatives. **Responsibilities** + Design, build, and maintain scalable data pipelines to ingest, process, and store data. Implement robust quality checks and monitoring to ensure data accuracy and reliability. + Write complex SQL queries for extraction, transformation, ad-hoc analysis, and automated reporting. Develop scalable data foundations and models designed to support AI/ML initiatives. + Develop, test, and deploy intelligent agents using Python and the Google ADK framework to automate tasks like data analysis, report generation, and system orchestration. + Partner with senior stakeholders, data scientists, and AI teams to understand complex requirements and architect robust long-term data solutions. + Develop tools to automate data processes, facilitate faster turnarounds, and increase efficiency. Monitor, troubleshoot, and tune data systems and pipelines. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.