Senior Associate - Data Engineer - ADV US

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Cybersecurity & Privacy

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

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

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 more}

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