1+ months

Data Engineer

Los Angeles, CA 90006


Google AI Data
Engineer Consultant





Come join
Accenture and Innovate in a company
with AI and data analytics in its DNA. Leverage our unparalleled scale, scope,
investment and global footprint to solve clients business needs. Youll drive results accessing 750+
industrialized apps and solutions, 800+ analytics and 300+ AI
patents/patents-pending, and the Applied Intelligence Platform (API) that
combines cutting edge and advanced analytics and automated AI with an
integrated suite of leading tools and technologies.





Accenture
Applied Intelligence is the worlds
largest team in applying data
science, machine learning, and AI with deep industry experience to
solve clients most sophisticated and difficult challenges. We are a team of
experts in data science, data engineering, artificial intelligence and human
ingenuity with industry knowledge that spans every industrialized area --
energy, health care, transportation, retail, social media, and more. By
deploying AI responsibly and combining it with our deep industry and analytics
expertise, we enable the digital transformation of organizations, extend human
capabilities, and make intelligent products and services a reality.





Role Description





The Google AI Data
Engineer role is responsible for delivery and implementation of Google
Cloud Platform (GCP) Infrastructure and solutions. The ideal candidate would
also be responsible for developing and delivering cloud solutions to meet
todays high demand in areas such as AI/ML, IoT, advanced analytics, open
source, enterprise collaboration, microservices, server less, etc. Using Google
Cloud Platform (GCP) public cloud technologies, our Solution Architect professionals
implement state-of-the-art, scalable, high performance solutions that meet the
need of todays corporate and emerging digital applications.





Key Responsibilities

+ Assist in a full technical discovery,
identifying pain points, business and technical requirements, as is and to
be scenarios.

+ Assess the full technology stack of services
required including PaaS (Platform as-a-service), IaaS (Infrastructure
as-a-service), SaaS (software as-a-service), operations, management and
automation.

+ Compare solution alternatives across both
technical and business parameters which support the define cost and service
requirements.

+ Apply Methodology, reusable assets, and previous
work experience to deliver consistently high-quality work.

+ Deliver written or oral status reports
regularly.

+ Stay educated on new and emerging
technologies/patterns/methodologies and market offerings that may be of
interest to our clients.

+ Adapt to existing methods and procedures to
create possible alternative solutions to moderately complex problems.

+ Use considerable judgment to define solution and
seeks guidance on complex problems.

+ Primary upward interaction is with direct
supervisor. May interact with peers and/or management levels at a client and/or
within Accenture. Establish methods and procedures on new assignments with
guidance.

+ Extensive travel may be required.



















































Basic Qualifications

+ Minimum of 3 years of technical solutions implementation, architecture design, evaluation, and investigation in a cloud environment.

+ Minimum of 1 year of Client Management and/or Project Management experience

+ Minimum of 1 year of professional experience in Solution/technical architecture in the cloud

+ Minimum of 1 year of experience in Big Data/analytics/information analysis/database management/ event-driven/microservices in the cloud











Preferred Skills

+ Minimum of 1 year of experience in Google Cloud Platform (GCP)

+ Google Certified Professional Cloud Architect a big plus

+ Experience in any of Messaging platforms (Kafka, PubSub, MuleSoft, etc. )

+ Hands-on experience with any of the following programming languages (Python, Java, C++, Go, Ruby, C)











Professional Skills Requirements

+ Excellent communication (written and oral) and interpersonal skills

+ Proven ability to work creatively and analytically in a problem-solving environment.








Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).





Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).








Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

























Categories

Posted: 2019-06-21 Expires: 2019-09-11

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Data Engineer

Accenture
Los Angeles, CA 90006

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