Job description

The Opportunity As a Tax Innovation - Data Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is evolving. Responsibilities - Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis - Implementing data pipelines, integration, and transformation solutions to support client needs - Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for data engineering tasks - Developing data architecture and modeling strategies to optimize data flow and storage - Applying database management and security best practices to maintain data integrity - Building and maintaining data lakes and warehouses, including Snowflake Data Warehouse - Conducting data validation and quality checks to support accurate insights generation - Collaborating with clients to understand their data requirements and deliver tailored solutions - Leveraging analytical thinking and creativity to solve complex data challenges - Engaging in performance tuning and query optimization to enhance system efficiency - Supporting the development of data strategy and governance frameworks to align with business objectives What You Must Have - At least a Bachelor's degree - At least 3 years of experience What Sets You Apart - Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain - Demonstrating proficiency in Azure Data Factory and Microsoft Azure Databricks - Utilizing advanced skills in data modeling and data pipeline development - Excelling in data architecture development and database management systems - Implementing data anonymization and database security best practices - Leveraging experience with Snowflake Data Warehouse and Databricks Unified Data Analytics Platform - Applying analytical thinking and creativity to solve complex data engineering challenges The salary range for this position is: $77,000 - $214,000. 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. 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: pwc.to As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.  PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: pwc.to. Learn more about how we work: pwc.to For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Requirements

Must-haves

Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
Implementing data pipelines, integration, and transformation solutions to support client needs
Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for data engineering tasks
Developing data architecture and modeling strategies to optimize data flow and storage
Applying database management and security best practices to maintain data integrity
Building and maintaining data lakes and warehouses, including Snowflake Data Warehouse
Conducting data validation and quality checks to support accurate insights generation
Collaborating with clients to understand their data requirements and deliver tailored solutions
Leveraging analytical thinking and creativity to solve complex data challenges
Engaging in performance tuning and query optimization to enhance system efficiency
Supporting the development of data strategy and governance frameworks to align with business objectives
What You Must Have
At least a Bachelor's degree
At least 3 years of experience
What Sets You Apart
Demonstrating proficiency in Azure Data Factory and Microsoft Azure Databricks
Utilizing advanced skills in data modeling and data pipeline development
Excelling in data architecture development and database management systems
Implementing data anonymization and database security best practices
Leveraging experience with Snowflake Data Warehouse and Databricks Unified Data Analytics Platform
Applying analytical thinking and creativity to solve complex data engineering challenges

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azure

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k