Data Engineer - Manager
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and managing data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Leading teams in the strategic planning and execution of data-driven projects
- Overseeing the deployment of scalable data solutions using platforms like Databricks and Snowflake
- Guiding team members in data architecture development and database optimization
- Validating data quality, security, and compliance within analytics frameworks
- Identifying opportunities for data utilization to drive business growth and performance
- Mentoring junior staff to develop their skills and encourage innovation
- Addressing conflicts and engaging in critical conversations with clients and stakeholders
Requirements
- At least a Bachelor's degree
- At least 4 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
- Utilizing Amazon Web Services (AWS) and Azure Data Factory for data engineering
- Developing data architecture and optimization strategies using Snowflake and Databricks
- Implementing data anonymization and security best practices in complex systems
- Excelling in dimensional modeling and data pipeline management
- Leading teams in data warehouse troubleshooting and performance tuning
- Mentoring junior staff in data strategy and validation techniques
Qualifications
Preference for candidates with experience in:
- Data engineering
- Data architecture and optimization
- Data pipeline management
- Data warehouse troubleshooting and performance tuning
- Data strategy and validation techniques
Benefits
The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
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: $99,000 - $232,000.
Schedule
The Opportunity is available as a Full time role.
Skills
The Opportunity requires the following skills:
- Data engineering
- Data architecture and optimization
- Data pipeline management
- Data warehouse troubleshooting and performance tuning
- Data strategy and validation techniques
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: $99,000 - $232,000.
Schedule
The Opportunity is available as a Full time role.