Senior Associate – Tax Innovation & Delivery , Data Engineering

• Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis

• Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights

• Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data engineering tasks

• Building and maintaining data architecture to support client-focused analytics initiatives

• Optimizing database performance and security using best practices in database administration

• Developing data models and validation processes to enhance data quality and reliability

• Collaborating with teams to anticipate client needs and deliver tailored data solutions

• Navigating complex data challenges and leveraging analytical thinking to solve problems

• Mentoring junior team members and guiding them in technical and professional growth

• Upholding professional standards and reinforcing the firm's code of conduct in all engagements

• At least a Bachelor's degree
• At least 2 years of experience
• Preference for fields of study such as Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Utilizing Azure Data Factory and Databricks for data engineering projects
• Developing data architecture and integration strategies for complex systems
• Excelling in analytical thinking and critical problem-solving
• Navigating ambiguity while building meaningful client relationships
• Mentoring junior team members in data engineering methodologies
• Interpreting data to inform strategic insights and recommendations

Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to Job Tailor job listings.

• data infrastructure design
• data processing
• data pipelines
• data integration
• data transformation
• data modeling
• database performance optimization database administration
• data quality enhancement
• data validation

• analytical thinking
• problem-solving
• mentoring
• collaboration
• client relationship management
• communication
• professional standards adherence
• guidance
• anticipating client needs
• navigating ambiguity