Google AI Data Engineer

Accenture   •  

San Francisco, CA

Industry: Business Services

  •  

Less than 5 years

Posted 62 days ago

This job is no longer available.

Job Description

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. You'll 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 world's 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 today's 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 today's 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.


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Qualifications

Basic Qualifications

  • Minimum of 3 years of technical solutions implementation, architecture design, evaluation, and investigation in a cloud environment.
  • Minimum of 1 year of experience in Google Cloud Platform (GCP) and a passion for learning new technologies.
  • 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 in the cloud
  • Minimum of 1 year of experience in IoT/event-driven/microservices in the cloud
  • Minimum of 1 year of experience in Cloud Workload Migration Automation Tools (i.e. Velostrata, Cloud endure, etc.) Cloud provisioning and management (i.e. Terraform, Puppet, Chef, Ansible, etc.)
  • Previous GCP Implementation/Delivery experience on Google Cloud Platform (GCP).

Preferred Skills

  • Google Certified Professional Cloud Architect
  • Hands-on experience with GCP services using GCP Console or Deployment Manager
  • Infrastructure (Server, Storage, and Database) discovery, design, build, and migration experience.
  • 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)
  • Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems.


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.