AI - Data Engineer (PwC Labs) Pwc
Dallas, TX

Job Description

PwC Labs is focused on standardizing, automating, delivering tools and processes and exploring emerging technologies that drive efficiency and enable our people to reimagine the possible. Process improvement, transformation, effective use of innovative technology and data & analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value for our firm.

Responsibilities

As a Senior Associate, you'll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:

* Proactively assist in the management of several clients, while reporting to Managers and above
* Train and lead staff
* Establish effective working relationships directly with clients
* Contribute to the development of your own and team's technical acumen
* Keep up to date with local and national business and economic issues
* Be actively involved in business development activities to help identify and research opportunities on new/existing clients
* Continue to develop internal relationships and your PwC brand

The AI Lab focuses on implementing solutions that impact efficiency and effectiveness of our clients' functions. Process improvement, transformation, effective use of technology and data & analytics, and leveraging alternative delivery are key areas to drive value and continue to be recognized as the leading professional services firm. AI Labs is focused on identifying and prioritizing emerging technologies and preparing clients to get the most out of their emerging technology investments.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:

Bachelor Degree

Additional Educational Requirements:

In lieu of a Bachelor Degree, 12 years of professional experience involving technology-focused process improvements, transformations, and/or system implementations

Minimum Years of Experience:

3 year(s)

Preferred Qualifications:

Degree Preferred:

Master Degree

Preferred Fields of Study:

Business Analytics, Computer and Information Science, Mathematics

Preferred Knowledge/Skills:

Demonstrates thorough knowledge and/or a proven record of success in the following areas:

* Cloud computing platforms such as AWS, GCP and Azure;
* Relational databases and writing SQL queries;
* Big data machine learning toolkits such as SparkML, messaging systems (Kafka) and NoSQL databases (Cassandra, HBase, MongoDB); and,
* Building data lakes.

Demonstrates thorough abilities and/or a proven record of success as a team leader including the following areas:

* Having a background in computer science and comfortable in programming in a variety of languages, including Java, Python, Scala;
* Determining the appropriate software packages or modules to run, and how easily they can be modified;
* Handling large scale structured and unstructured data from internal and third party sources;
* Architecting highly scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, Pig, Hive, Presto, Spark, Drill, Sqoop and ETL frameworks;
* Utilizing Linux shell scripting and containerization technologies (Docker, Kubernetes); and,
* Leading teams in a dynamic work environment while managing stakeholder expectations and scope.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.