Senior Cloud Data Engineer

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 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.

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:
3 year(s)

Certification(s) Required:

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

Preferred Qualifications:

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

Certification(s) Preferred:

1 or more additional professional or specialty-level certifications from AWS, Azure, GCP

Preferred Knowledge/Skills:

Demonstrates thorough 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 thorough abilities and/or a proven record of success as a team leader 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.