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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 Amazon Redshift highly 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:

• Amazon Kinesis

• Amazon S3

• Amazon EMR

• Amazon DynamoDB

• Amazon Glue

• Amazon Lambda

• 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 Architecture

• 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&DE23

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.