Fabric+Pyspark+SQL - Manager

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Manager

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 Engineering Manager you will lead client support workstreams focused on Fabric, PySpark, and SQL within our Data and Analytics Engineering practice. As a Manager you will lead teams and manage workstreams, coach junior professionals, and use sound judgment to analyze complex data problems, shape delivery plans, and guide work aligned to client needs within our Data and Analytics Engineering practice. In this role at PwC, you will help coordinate delivery across data modernization efforts, leverage cloud and analytics methods, and contribute to solutions that improve how data is structured, transformed, and used for business decisions.

Responsibilities

• - Leading Fabric, PySpark, and SQL data engineering workstreams across client delivery engagements
• - Designing and building scalable data pipelines, transformation layers, and curated analytics datasets
• - Managing project plans, delivery timelines, and team assignments across multiple work items
• - Reviewing technical solutions for data quality, performance tuning, and query optimization
• - Developing Databricks and Snowflake implementations that support modernized data platforms
• - Coordinating data integration, modeling, and warehouse design activities for complex environments
• - Mentoring junior team members through technical guidance, review cycles, and coaching discussions
• - Identifying opportunities to improve pipeline reliability, automation, and reusable engineering patterns

What You Must Have

• - At least a Bachelor's degree
• - At least 9+ 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 experience with Fabric, PySpark, and SQL in data engineering
• - Building data pipelines, transformations, and validation workflows in Databricks
• - Applying data modeling, warehousing, and performance tuning methods
• - Contributing to client-facing data modernization workstreams and timelines
• - Coaching team members while managing multiple deliverables

Travel Requirements

Not Specified

Job Posting End Date