Data Engineer - Senior Associate

Responsibilities

• Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
• Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
• Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
• Applying data architecture development and database management skills to optimize data solutions
• Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
• Building and managing data lakes and warehouses to support large-scale data storage and retrieval
• Confirming data quality and validation through rigorous testing and performance tuning
• Collaborating with clients to understand their data requirements and deliver actionable insights
• Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
• Implementing data security best practices to protect sensitive information and maintain compliance
• Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
• Supporting the development of data strategies to drive business growth and informed decision-making

Requirements

• At least a Bachelor's degree
• At least 2 years of experience
• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating proficiency in data engineering platforms like Databricks
• Utilizing cloud platforms such as AWS and Microsoft Azure
• Excelling in data architecture development and data modeling
• Implementing data pipeline and data integration strategies
• Navigating complex data environments with Apache Hadoop and Airflow
• Applying critical thinking to solve data-related challenges

Qualifications

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating proficiency in data engineering platforms like Databricks
• Utilizing cloud platforms such as AWS and Microsoft Azure
• Excelling in data architecture development and data modeling
• Implementing data pipeline and data integration strategies
• Navigating complex data environments with Apache Hadoop and Airflow
• Applying critical thinking to solve data-related challenges

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

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.

Schedule

Full time

Travel

Up to 60%