Data and Analytics Engineering - Data Engineering - Associate
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Summary
Associate-level data engineering role at PwC's Service Delivery Center: designing and building data infrastructure, pipelines, integration, and transformation solutions for clients. Core skills span AWS, Azure Data Factory, Databricks, Airflow, Hadoop, and data modeling.
Line of Service
Industry/Sector
Specialism
Management Level
Job Description Summary
Education
Certifications
Optional Skills
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Advisory
Industry/Sector
Not Applicable
Specialism
Operations
Management Level
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 Firms code of conduct, and independence requirements.
Education
Certifications
(if blank, certifications not specified)
Optional Skills
- Accepting Feedback
- Active Listening
- Agile Scalability
- Amazon Web Services (AWS)
- Analytical Thinking
- Apache Airflow
- Apache Hadoop
- Azure Data Factory
- Communication
- Creativity
- Data Anonymization
- Data Architecture Development
- Database Administration
- Database Management System (DBMS)
- Database Optimization
- Database Security Best Practices
- Databricks Unified Data Analytics Platform
- Data Engineering
- Data Engineering Platforms
- Data Infrastructure
- Data Integration
- Data Lake
- Data Modeling
- Data Pipeline
- Data Pipeline {+ 27 more}
Travel Requirements
Not Specified
Available for Work Visa Sponsorship
No
Government Clearance Required
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.