Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations
Google · Gurgaon
Source and collection record
Last observed by our collector: . This is not a manual review or a confirmation from the employer.
Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.
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Collected role description
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form . 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.
Collected minimum qualification
Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.; 1 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).; Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.; Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.
Collected preferred qualification
Master's degree or other advanced degree in Computer Science or related technical field or equivalent practical experience.; Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.; Experience working with Big Data, information retrieval, data mining, or machine learning.; Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).; Experience in a customer-facing or customer service role, with practice using AI technologies to augment, improve, or automate the development process.
Collected experience requirement
1 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).