Data Engineer Senior Associate - Databricks

Industry/Sector

Not Applicable

Specialism

Platform Engineering & Architecture

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Data Engineers - Databricks - Senior Associate you will design and build data pipelines, data integration, and data transformation solutions that help turn raw data into insights for clients within our Advisory practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build client relationships, and mentor junior team members while using critical thinking to navigate ambiguity and deliver dependable work. In this role at PwC, you will apply data engineering methods and Databricks skills to support data platform modernization, cloud-based data processing, and the development of solutions that align with broader business goals.



Responsibilities

- Designing and building data pipelines that move, transform, and load data across cloud platforms
- Developing Databricks-based solutions that support scalable data processing and analytics use cases
- Integrating data from multiple source systems into curated data models for reporting and downstream consumption
- Performing data quality checks, validation logic, and troubleshooting across ingestion and transformation workflows
- Applying data engineering methods to optimize performance, reduce latency, and improve pipeline reliability
- Using Apache Airflow, Azure Data Factory, or similar orchestration tools to schedule and monitor data workflows
- Collaborating with client teams to understand business needs and translate them into technical data solutions
- Reviewing work products from junior team members and providing guidance on delivery approach and technical details
- Interpreting complex data structures and technical requirements to support solution design and issue resolution
- Supporting cloud data modernization efforts across AWS, Azure, or Snowflake environments

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- 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 Databricks data engineering delivery across cloud platforms
- Utilizing Apache Airflow, Azure Data Factory, or similar orchestration tools
- Applying data modeling, pipeline design, and data quality methods
- Interpreting data trends to guide client recommendations
- Collaborating across teams while managing ambiguity and shifting priorities
- Mentoring junior team members while deepening technical skills

Travel Requirements

Not Specified

Job Posting End Date