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Data Engineer - Data Lab (PwC Labs)

PricewaterhouseCoopers

Location: Tampa, Florida
Type: Full-Time, Non-Remote
Posted on: May 4, 2021
This job is no longer available from the source.
Line of Service
Assurance
Industry/Sector
Not Applicable
Specialism
Assurance
Management Level
Senior Associate
Job Description & Summary
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.
The Data Lab will provide you with the opportunity to redesign, redefine, and redeploy how PwC uses data and analytics to be a strategic asset across the enterprise. The focus is on assisting teams as they incorporate increased automation, machine learning, analytics, open source technologies into their processes to deliver better quality output and contribute more strategically to organizational decision making.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.
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 :
2 year(s)
Preferred Qualifications :
Degree Preferred :
Master Degree
Preferred Fields of Study :
Business Analytics, Computer and Information Science, Mathematics
Certification(s) Preferred :
CCP Data Engineer Exam (DE575), CCA Spark and Hadoop Developer (CCA175), Oracle Certified Professional, Java SE 8 Programmer Certification Overview, Certified Professional in Python Programming Level 1 or 2
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:
• 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.
• 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.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Up to 20%
Available for Work Visa Sponsorship?
Yes
Government Clearance Required?
No
Job Posting End Date
May 14, 2021 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.
Job Type: Full time