Senior Associate Cloud Data Engineer - Cybersecurity [US Client]

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Cybersecurity & Privacy

Management Level

Senior Associate

Job Description & Summary

A career in our Cybersecurity, Privacy and Forensics will provide you the opportunity to solve our clients most critical business and data protection related challenges. You will be part of a growing team driving strategic programs, data analytics, innovation, deals, cyber resilency, response, and technical implementation activities. You will have access to not only the top Cybersecurity, Privacy and Forensics professionals at PwC, but at our clients and industry analysts across the globe.
As a generalist, you will have the opportunity to work in many facets of Cybersecurity, Privacy and Forensics projects for our clients.

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 an authentic and inclusive leader, at all grades/levels and in all lines of service. 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 and coach to help deliver results.
• Develop new ideas and propose innovative solutions to problems.
• Use a broad range of tools and techniques to extract insights from from current trends in business area.
• Review your work and that of others for quality, accuracy and relevance.
• Share relevant thought leadership.
• Use straightforward communication, in a structured way, when influencing others.
• Able to read situations and modify behavior to build quality, diverse relationships.
• Uphold the firm's code of ethics and business conduct.

Preferred skills

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

• Using analytical models and algorithms including Machine/Deep learning, Multivariate Statistics (e.g., Clustering, Principal Component Analysis, Regression, Hypothesis testing and Factor Analysis), Optimization, Data Mining and Simulation;

• Leveraging structured and unstructured data for solving analytical problems;

• Developing and deploy analytical solutions as part of a larger automation pipeline;

• Using common cloud platforms e.g., Azure, AWS and GCP, for manipulating large data sources, model, development, and deployment;

• Performing data engineering & cleansing, train-test-validation of models, field testing (A/B Testing), and experimental test & design;

• Demonstrating thorough aptitude for conducting quantitative and qualitative analysis;

• Converting client problems/requests into appropriate analytical techniques; and,

• Explaining analytical/quantitative outcomes to internal and client teams, and correlate it to business value realized.

• Understand the importance of have a correct information management
• Knowledge of Information Security and Data Protection
• Correct Information Security Management

Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:

Using SQL, Python (e.g. Scikit-Learn, Pandas, SciPy etc.), Relational storage (SQL); and,

Understanding and/or hands on experience with Alteryx, R, Tableau, PowerBI, Graph databases (e.g. CosmoDB, Neo4j), Non-relational storage (NoSQL).

Minimum years experience required

• 3 to 5 years of experience in the area

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

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)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

English

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date