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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 (AI&DE) 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-making. 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&DE 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 native Amazon Web Services (AWS) tools • At least one FLC implementation using AWS cloud native toolset • 1+ years 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 Databricks highly preferred • Experience with Spark and Java highly preferred • Hands-on experience in SQL with Redshift and Snowflake • Experience with Amazon Web Services (AWS) to include: o Amazon Kinesis o Amazon S3 o Amazon EMR o Amazon Redshift o Amazon DynamoDB o Amazon Glue o Amazon Lambda o Amazon Athena • Programming experience with Unix/Shell scripting • Cloud infrastructure management experience with Data & Analytics tools and services • AWS Certifications • Experience with other leading commercial Cloud platforms, including Azure and Google • Experience with unstructured data • Hands-on experience with Orchestration tools like Airflow or Step function • Knowledge of Mesh Architectures • 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 troubleshooting skills with the ability to exercise mature judgment • An advanced degree in the area of specialization is preferred AI&DE23Vacancy expired!