Google Cloud Platform Cloud Enablement - Analytics & Cognitive, Senior Co

The Team AI & Data Engineering In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-makin g. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data Engineering will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Qualifications Required: 3+ years of relevant technology consulting or industry experience with ability to contribute to an end-to-end architecture and solution overview using Google Cloud Platform (Google Cloud Platform) tools At least one FLC implementation using Google Cloud Platform toolset 3+ months experience with SQL and Python 1+ years experience leading workstreams within complex technology engagements with resources in multiple locations Bachelor's Degree or equivalent professional experience Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available. Preferred: Experience with Snowflake cloud data warehouse highly preferred Experience with Google Cloud Platform Cloud DataFlow highly preferred Experience with Spark highly preferred Experience with Google Cloud Platform to include: BigQuery Cloud Data Fusion, Cloud Pub/Sub Kubernetes Also, Apache Kafka Google Cloud Platform Certifications Experience with other leading commercial Cloud platforms, including Azure and AWS Strong oral and written communication skills, including presentation skills (ie: MS PowerPoint) Ability to create critical collaterals for client workshops and customer interactive sessions Strong problem solving and troubleshootin g skills with the ability to exercise mature judgment An advanced degree in the area of specialization AI&DE23