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Data Analytics Customer Engineer, Google Cloud

Data Analytics Customer Engineer, Google Cloud

2 Weeks ago • 6 Years + • DevOps • Full Stack Development

About the job

Summary

The Data Analytics Customer Engineer at Google Cloud supports sales teams in pursuing business opportunities, engaging with clients to address data lifecycle aspects. This role involves working with business teams to identify needs, conduct technical discovery, and architect client solutions. Responsibilities include leading technical projects, technology advocacy, supporting bid responses, product demonstrations, proof-of-concept work, and coordinating resources. The engineer leverages GCP products for integrations, travels for meetings and onsite delivery, and presents Google Cloud's value proposition through various methods, including presentations and documentation. The role requires expertise in data warehousing, big data technologies, and cloud computing.

14 skills required for this role

Test your skills to join the top 1% applicants for this job

html

javascript

cpp

scala

spark

load-balancing

python

sql

xml

linux

google-cloud-platform

dns

data-analytics

scalability

Must have:

Bachelor's degree in CS or related field
6+ years experience in technical sales engineering in cloud computing
Experience with Apache Spark and analytic warehouse solutions
Experience implementing analytics systems architecture
Support sales teams and engage customers
Lead technical projects and provide technical expertise

Good to have:

Master's degree in CS or related field
Experience developing data warehousing and ETL solutions
Experience with technical sales or consulting in cloud computing
Experience with coding languages (Python, JavaScript, etc.)
Knowledge of Linux, web development, and networking technologies

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Minimum qualifications:

Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
6 years of experience as a technical sales engineer in a cloud computing environment or a customer-facing role.
Experience with Apache Spark and analytic warehouse solutions (e.g., Teradata, Netezza, Vertica, SQL-Server, and Big Data technologies).
Experience implementing analytics systems architecture.

Preferred qualifications:

Master's degree in Computer Science or a related field.
Experience developing data warehousing, data lakes, batch, or real-time event processing and ETL workflow solutions, including architecture design, implementing, tuning, schema design, query optimization of scalable and distributed systems.
Experience with technical sales or professional consulting in cloud computing, data, information life-cycle management, and Big Data.
Experience with coding languages (e.g., Python, JavaScript, C++, Scala, R, or Go).
Knowledge of Linux, Web 2.0 development platforms, solutions, and related technologies (e.g., HTTP, Basic/NTLM,sessions, XML/XSLT/XHTML/HTML).
Understanding of DNS, TCP, Firewalls, Proxy Servers, DMZ, Load Balancing, VPN, VPC.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

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

Support local Sales teams in pursuit of key business opportunities, engaging customers to address aspects of the data life-cycle.
Work with the Business teams, identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.
Lead technical projects, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the co-ordination of supporting technical resources.
Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as needed for meetings, technical reviews, and onsite delivery activities.
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 Request For Information (RFI) response documents.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.