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Urgent! Customer Solutions Engineer, Data Analytics, Google Cloud (English, Mandarin) Job Opening In – Now Hiring Google
Customer Solutions Engineer, Data Analytics, Google Cloud (English, Mandarin)
_corporate_fare_ Google _place_ Singapore
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
_info_outline_
XGoogle will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience in technical support, professional services, or software development, including managing client-facing projects, troubleshooting, and working with Engineering and Sales teams.
+ Experience with data processing software (e.g., Hadoop, Spark, Hive) and algorithms (e.g., MapReduce, Flume).
+ Experience testing, maintaining, or launching software products, including design, architecture, and writing software in Java, C++, or Python.
+ Ability to participate in on-call rotation, which may occur outside of standard working hours, including nights, weekends and holidays.
+ Ability to communicate in English and Mandarin to support client relationship management in this region.
**Preferred qualifications:**
+ Experience 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 architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
+ Experience in technical consulting.
**About the job**
As part of the team in this growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Customer Data Analytics Solutions Engineer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform.
You will lead data migrations and transformations, partner with clients to architect data processing systems, build data pipelines, and resolve platform challenges.
You will collaborate with Google's cloud customers and our team to implement Google Cloud products.
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.
**Responsibilities**
+ Act as a trusted technical advisor to customers and solve Big Data challenges, as well as, analyze database environments and consult on the optimal design for performance and deployment on Google Cloud Platform (GCP).
+ Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring the approach to different stakeholders.
+ Manage customer issues through diagnosis, resolution, or implementation of new tools to increase productivity for customer issues on GCP products.
+ Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations.
+ Participate in rotating on-call schedules including nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities.
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.
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.
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Unlock Your Customer Solutions Potential: Insight & Career Growth Guide
Real-time Customer Solutions Jobs Trends in , Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Customer Solutions in , Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 6255 jobs in Singapore and 0 jobs in . This comprehensive analysis highlights market share and opportunities for professionals in Customer Solutions roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Google is currently hiring and seeking a Customer Solutions Engineer, Data Analytics, Google Cloud (English, Mandarin) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Google adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Customer Solutions Engineer, Data Analytics, Google Cloud (English, Mandarin) Jobs Singapore varies, but the pay scale is rated "Standard" in . Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Customer Solutions Engineer, Data Analytics, Google Cloud (English, Mandarin) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Customer Solutions Engineer, Data Analytics, Google Cloud (English, Mandarin) interview at Google, research the company, understand the job requirements, and practice common interview questions.
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