AWS Data Engineer - Sr Consultant

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Full Time

Job Description

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



• 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


• 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

Company Information

Deloitte provides industry-leading audit, consulting, tax and advisory services to many of the world’s most admired brands, including nearly 90% of the Fortune 500® and more than 7,000 private companies. Our people come together for the greater good and work across the industry sectors that drive and shape today’s marketplace—delivering measurable and lasting results that help reinforce public trust in our capital markets, inspire clients to see challenges as opportunities to transform and thrive, and help lead the way toward a stronger economy and a healthier society. Deloitte is proud to be part of the largest global professional services network serving our clients in the markets that are most important to them. Now celebrating 175 years of service, our network of member firms spans more than 150 countries and territories. Learn how Deloitte’s more than 330,000 people worldwide connect for impact on our website.

Dice Id : 10106525
Position Id : 105529
Originally Posted : 3 months ago

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