Data Engineer - Senior Associate
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. In data engineering at PwC, you will design and build data infrastructure and systems to enable efficient data processing and analysis. You will develop and implement data pipelines, data integration, and data transformation solutions. Focused on relationships, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, deepen technical expertise, and enhance awareness of your strengths.
You are expected to anticipate the needs of your teams and clients, deliver quality, and embrace ambiguity by asking questions and using uncertain moments as opportunities to grow.
Responsibilities
- Designing and implementing thorough data architecture strategies
- Analyzing complex issues to create innovative solutions
- Mentoring and guiding junior team members
- Upholding standards in project deliverables
- Building and maintaining client relationships
- Developing a thorough understanding of the business environment
- Managing and navigating complex scenarios effectively
- Enhancing personal brand and technical skills
- 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
- Developing and deploying scalable data storage solutions using AWS, Azure, and GCP services
- Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, and Dataflow
- Enhancing cloud resources for cost, performance, and scalability
Requirements
- 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
Skills
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
Qualifications
Certification in Cloud Platforms is a plus:
- AWS Solutions Architect
- AWS Data Engineer
- Google Professional Cloud Architect
- GCP Data Engineer
- Microsoft Azure Solutions Architect
- Azure Data Engineer Associate
- Snowflake Core
- Snowflake Databricks Data Engineer Associate
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. All hired individuals are eligible for an annual discretionary bonus.
Benefits
PwC offers a wide range of benefits, including:
- Medical, dental, and vision coverage
- 401k retirement plan
- Holiday pay
- Vacation
- Personal and family sick leave
To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance.