Fabric Data Engineer - Senior Associate

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 Fabric Data Engineer - Senior Associate you will support client-facing data engineering work within our Cloud Engineering, Data & Analytics practice, helping design and deliver fabric-based data solutions that turn business needs into scalable pipelines, models, and reusable data assets. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and mentor junior team members while navigating ambiguity and using your technical skills to deliver work that aligns with the broader goals of data modernization. In this role at PwC, you will help shape data architecture, develop engineering deliverables, interpret feedback, and contribute to solution design, testing, and deployment across multiple workstreams in the PwC Acceleration Center Bangalore environment.
Responsibilities
Developing and maintaining data pipelines that move, transform, and validate information across cloud and lakehouse environments
Building scalable Fabric-based solutions for ingestion, orchestration, storage, and analytics use cases
Applying data modeling, transformation, and performance tuning techniques to improve query speed and pipeline reliability
Collaborating with client teams to gather technical requirements, interpret business needs, and translate them into engineering deliverables
Monitoring pipeline health, troubleshooting failures, and resolving issues across data integration and warehouse workflows
Using Azure Data Factory, Databricks, Apache Airflow, and Snowflake tools to support modern data platform delivery
Reviewing code, schemas, and data structures to maintain consistency, security, and usable data outputs
Mentoring junior team members on engineering methods, documentation, and delivery practices while managing assigned workstreams
What You Must Have
At least a Bachelor's degree
At least 4 years of experience
Oral and written proficiency in English required
Designs and develops scalable data solutions in Microsoft Fabric. Works independently on modules and contributes to architecture discussions.
Design and implement end-to-end data pipelines in Fabric
Build and optimize Lakehouse architectures
Develop advanced Power BI semantic models and reports
Write and optimize complex SQL and PySpark transformations
Integrate data from multiple sources (APIs, databases, streaming)
Ensure data quality, governance, and security compliance
Collaborate with business stakeholders for requirements
Mentor junior team members
Microsoft Fabric (Data Factory, Lakehouse, Warehouse)
Power BI (DAX, modeling, performance tuning)
SQL (advanced)
Good knowledge of:
PySpark / Spark
Data modeling (star/snowflake schema)
Azure services (ADLS, Synapse, etc.)
Understanding of CI/CD and DevOps practices
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
Completing data engineering coursework or internships using Fabric, Azure, or Databricks
Demonstrating SQL, Python, and data pipeline development for analytics solutions
Analyzing data architecture, modeling, integration, and quality patterns for client deliverables
Applying Agile ways of working while managing shifting workstream priorities
Mentoring junior team members and reviewing deliverables for accuracy and clarity

Work arrangement
No