Associate, CS

About the Role

At PwC, 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.

Key Responsibilities

• Design and build data infrastructure and systems to enable efficient data processing and analysis.
• Develop and implement data pipelines, data integration, and data transformation solutions.
• 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, the Firm's code of conduct, and independence requirements.

Requirements & Tech Stack

Skills, knowledge, and experiences include but are not limited to:

• Data Engineering
• Data Infrastructure
• Data Integration
• Data Pipeline
• Data Modeling
• Data Lake
• Apache Airflow
• Amazon Web Services (AWS)
• Azure Data Factory
• Databricks Unified Data Analytics Platform
• Apache Hadoop
• Database Administration
• Database Management System (DBMS)
• Database Optimization
• Database Security Best Practices
• Data Architecture Development
• Data Anonymization
• Analytical Thinking
• Communication
• Creativity
• Agile Scalability
• Active Listening
• Accepting Feedback

Qualifications

Education:

• Degrees/Field of Study required: Not Specified
• Degrees/Field of Study preferred: Not Specified