Job Location: Miami, FL
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- Experience with analytic warehouse solutions as Teradata, Netezza, Vertica, Oracle, SQL-Server, and Big Data technologies.
-
Ability to speak and write in English and Spanish fluently.
Preferred qualifications:
- Experience with technical sales or in professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.
- Experience developing data warehousing, data lakes, batch or real-time event processing, and ETL workflows solutions (e.g., Informatica, Talend, Alooma, SAP, Data Services) including architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
- Experience writing code in a common development languages (e.g., Java, Python, JavaScript, C#, C++, Scala, R, or Go).
- Understanding of DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC.
- Knowledge of Linux.
About the job
The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using technology to connect with customers, employees, and partners. With companies relying on Google Cloud, we answer questions about technical features, helping customers design architectures, engage in proof of concepts, and troubleshooting potential roadblocks related to database migration and data back ends. As a Customer Engineer for Data Analytics, you will address all aspects of the data lifecycle.
Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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
- Support local business teams in pursuit of key business opportunities, engaging customers to address aspects of the data lifecycle.
- Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.
- Lead technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
- Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as required for meetings, technical reviews, and onsite delivery activities.
- Prepare and deliver product messaging to showcase the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers, and RFI response documents.
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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Submit CV To All Data Science Job Consultants Across United States For Free