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Cloud Data Engineer

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Cloud Data Engineer

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Job Category Cloud Computing and Networking Level Associate Specialty/Competency Cloud Computing & Networking Industry/Sector Not Applicable Job Type Regular Time Type Full time Government Clearance Required No Available for Work Sponsorship Yes Travel Requirements Up to 20% Job ID 201828WD Location(s) FL-Miami | GA-Atlanta | NY-Rochester | IL-Chicago | MA-Boston | NY-New York | TX-Dallas | WA-Seattle

PwC’s Cloud Computing and Networking practice helps our clients transform their business through innovative technology solutions and effective IT Service Management. Part of that journey includes helping our clients enable innovation, reinventing their customer experience, and exploring new markets. You will be immersed in a variety of different projects, groups, and locations while getting inspired through your community to grow as an individual as well as a team. Our diverse client service teams encourages out-of-the-box thinking, problem solving, great team mentality and a curiosity for understanding the latest in technology.


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 an 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:

  • Invite and give in the moment feedback in a constructive manner.
  • Share and collaborate effectively with others.
  • Identify and make suggestions for improvements when problems and/or opportunities arise.
  • Handle, manipulate and analyse data and information responsibly.
  • Follow risk management and compliance procedures.
  • Keep up-to-date with developments in area of specialism.
  • Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
  • Build and maintain an internal and external network.
  • Seek opportunities to learn about how PwC works as a global network of firms.
  • Uphold the firm's code of ethics and business conduct.


Additional Responsibilities:

PwC's Cloud Engineering and Security Hub enables us to supercharge business transformation, powered by the cloud. The Hub combines deep cloud talent and business, industry, and technical specialization to deliver cloud-powered business outcomes. Our full-stack cloud engineering capabilities enhance our Cloud Transformation solutions, helping clients unlock the full potential of their IT strategy from App Migration & Modernization, Native Cloud development, through data transformation and beyond.


Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
1 year(s)

Preferred Qualifications:

Preferred Fields of Study:
Computer Engineering, Engineering, Mathematics, Mathematical Statistics, Statistics, Computer Systems Analysis, Computer Programming, Business Analytics, Computer and Information Science, Information Technology, Management Information Systems, Operations Management/Research, Data Processing/Analytics/Science

Certification(s) Preferred:

1 or more associate-level certifications from AWS, Azure, GCP

Preferred Knowledge/Skills:

Demonstrates some abilities and/or a proven record of success in the following areas:

  • Programming: Python, R, Java, JavaScript, C++, Unix;
  • Data Storage Technologies: SQL, NoSQL, Hadoop, cloud-based data solutions such as GCP BigQuery, and different storage formats (e.g. Parquet, etc.);
  • Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as AWS Glue or Databricks;
  • Machine Learning Libraries: Python (scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark MLlib
  • Hardware: sensors, robotics, Raspberry Pis, GPU enabled machine learning, FPGAs, etc; and,
  • DevOps including Linux and Windows command line control, scripting, source code control (such as GitHub), and containers (including Docker, Kubernetes).

Demonstrates some abilities and/or a proven record of success in the following areas:

  • Working under the guidance of lead engineering staff to implement and test data-centric software solutions in a cloud environment;
  • Designing event-driven architectures that appropriately leverage streaming and batch processing;
  • Assisting with the design and development of software applications;
  • Working with architects and product owners to decompose work into smaller software components;
  • Assisting with estimation and planning of of software delivery;
  • Helping architects research and prove out design concepts;
  • Coding, debugging, testing and troubleshooting throughout the application development process;
  • Following industry leading practices for code commit and code delivery;
  • Creating end-to-end technology prototypes and/or machine learning models for a given business use case or application;
  • Demonstrating success in rapid prototyping, using agile approaches to quickly test new ideas and “fail fast”; and,
  • Applying a business framing to emerging technology solutions and communicate to business audiences in written and verbal formats; and,


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.

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