23 days old

BI/Big Data Engineer - Senior Associate

Chicago, IL 60601
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PwC/LOS Overview
PwC is a network of firms committed to delivering quality in assurance, tax and advisory services.

We help resolve complex issues for our clients and identify opportunities. Learn more about us at www.pwc.com/us.

At PwC, we develop leaders at all levels. The distinctive leadership framework we call the PwC Professional (http://pwc.to/pwcpro) provides our people with a road map to grow their skills and build their careers. Our approach to ongoing development shapes employees into leaders, no matter the role or job title.

Are you ready to build a career in a rapidly changing world? Developing as a PwC Professional means that you will be ready
- to create and capture opportunities to advance your career and fulfill your potential. To learn more, visit us at www.pwc.com/careers.

PwC Advisory helps our clients with their most challenging imperatives from strategy through execution. We combine the breadth of knowledge of over 48,000 global professionals with deep industry knowledge to deliver custom solutions for our clients. We work with the world's largest and most complex companies and understand the unique business issues and opportunities our clients face.

Job Description
Our Operations consultants help clients realize competitive advantage from operations. This high performing team translates business strategy into effective operations to drive both growth and profitability. Specific areas of focus include product innovation and development, supply chain, procurement and sourcing, manufacturing operations, service operations, and capital asset programs and operations.

The role of the Data Engineer is to design and build scalable backend systems that democratizes data access across the organization, makes data available to data science teams and power analytic solutions across the firm. The data engineer will be responsible for designing, developing and maintaining efficient & reliable pipelines to process large scale data using both batch and real-time processes. The data engineer will be leveraging on premise infrastructure and cloud computing platforms such as Amazon Web Services, Google Cloud Platform and Microsoft Azure to build robust data driven solutions for clients.

Position/Program Requirements
Minimum Year(s) of Experience: 3

Minimum Degree Required: Bachelor's degree in Computer Science or a related technical field.

Degree Preferred: Master's degree or Doctorate in Computer Science or a related technical field.

Knowledge Preferred:

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.

Skills Preferred:

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.

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BI/Big Data Engineer - Senior Associate

Chicago, IL 60601

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Chicago, IL

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