Cloud Data Engineer

The Google interview process typically involves three rounds: a technical interview, a behavioral interview, and a HR interview. The technical interview will assess your technical skills and knowledge, while the behavioral interview will evaluate your problem-solving skills and experience. The HR interview will focus on your cultural fit and overall personality.

Google is known for its innovative and collaborative work culture, with a focus on employee growth and development. The company offers a range of benefits and perks, including flexible work arrangements, on-site fitness classes, and access to cutting-edge technology. Google is also committed to diversity, equity, and inclusion, with a range of programs and initiatives aimed at promoting a culture of belonging.

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience. Experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark, or Hadoop frameworks. Experience with a public cloud provider, such as Google Cloud Platform (GCP).

Round 1: Technical Interview → Round 2: Behavioral Interview → Round 3: HR (based on company knowledge)

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. As a Cloud Data Engineer at Google, you will interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services. You will design, migrate/build, and operationalize data storage and processing infrastructure using Cloud native products. You will also design and implement data migration strategies for various database types, develop and implement data quality and governance procedures to ensure the accuracy and reliability of data, and engage with technical leads and partners to lead high-velocity migration and modernization to Google Cloud Platform (GCP). The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience. Experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark, or Hadoop frameworks is required. Experience with a public cloud provider, such as Google Cloud Platform (GCP), is also necessary. Preferred qualifications include experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools, environments, and data structures. Experience in Big Data, information retrieval, data mining, or Machine Learning is also desirable. The ability to architect, develop software, or internet-scale production-grade Big Data solutions in virtualized environments, and experience with IaC and CICD tools like Terraform, Ansible, Jenkins, etc., are also preferred. As a Cloud Data Engineer at Google, you will have the opportunity to work on complex and challenging projects, collaborate with a talented team of engineers, and develop your skills and expertise in cloud computing and data engineering. You will also have access to a wide range of training and development opportunities, including Google's renowned training programs and certifications. 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. 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.