Data Engineer - Senior Associate

Responsibilities

• Designing and implementing thorough data architecture strategies
• Analyzing complex issues to create innovative solutions
• Mentoring and guiding junior team members
• Building and maintaining client relationships
• Focusing on building client relationships and developing a deeper understanding of the business context
• Navigating increasingly complex situations
• Growing your personal brand and technical knowledge

Qualifications

• Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
• 2 years of experience
• Designing and implementing thorough data architecture strategies
• Developing and documenting data models, data flow diagrams, and data architecture guidelines
• Maintaining data architecture compliance with data governance and data security policies
• Collaborating with business stakeholders to understand their data requirements
• Building, maintaining, and enhancing ETL/ELT pipelines for data ingestion, processing, and storage
• Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow
• Enhancing Cloud resources for cost, performance, and scalability

Skills

• 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

Pay

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Benefits

PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About the Role

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.