Posted by Google LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, a search engine, cloud computing, software, and hardware.
Sales Engineer, Data Analytics, Google Cloud (English)
Minimum qualifications:
Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
Experience with traditional Analytic Warehouse solutions and “Big Data” technologies.
Experience in implementing analytics systems architecture including elements and all aspects of cloud computing.
Ability to speak and write English fluently and idiomatically.
Preferred qualifications:
Extensive technical sales experience or professional consulting experience in the fields of cloud computing, data, information lifecycle management and Big Data.
Experience with developing data warehousing, data lakes, batch or real-time event processing and ETL workflows solutions (i.e. Informatica, Talend, Alooma, SAP, Data Services) which could include architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
Experience in writing code in a common development languages such as Java, Python, JavaScript, C++, Scala, R or Go.
Understanding of DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC and working knowledge of Linux.
Responsibilities
Support local teams in pursuit of business opportunities, engaging customers to address aspects of the data lifecycle.
As part of working with the Sales team, identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
Manage 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.
Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and RFI response documents.
Travel as required around EMEA for meetings, technical reviews and onsite delivery activities.
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