Fabric Data Engineer - Senior Associate

Overview

Fabric Data Engineer - Senior Associate in PwC's Acceleration Center India, supporting client-facing data engineering work within the Cloud Engineering, Data & Analytics practice to design and deliver Fabric-based data solutions.

What you'll do

• Develop and maintain data pipelines that move, transform, and validate information across cloud and lakehouse environments
• Build scalable Fabric-based solutions for ingestion, orchestration, storage, and analytics use cases
• Apply data modeling, transformation, and performance tuning techniques to improve query speed and pipeline reliability
• Collaborate with client teams to gather technical requirements, interpret business needs, and translate them into engineering deliverables
• Monitor pipeline health, troubleshoot failures, and resolve issues across data integration and warehouse workflows
• Use Azure Data Factory, Databricks, Apache Airflow, and Snowflake tools to support modern data platform delivery
• Review code, schemas, and data structures to maintain consistency, security, and usable data outputs
• Mentor junior team members on engineering methods, documentation, and delivery practices while managing assigned workstreams
• 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

What you'll need

• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English
• Designs and develops scalable data solutions in Microsoft Fabric; works independently on modules and contributes to architecture discussions
• Microsoft Fabric (Data Factory, Lakehouse, Warehouse)
• Power BI (DAX, modeling, performance tuning)
• SQL (advanced)

Nice to have

• Good knowledge of PySpark / Spark
• Good knowledge of data modeling (star/snowflake schema)
• Good knowledge of Azure services (ADLS, Synapse, etc.)
• Understanding of CI/CD and DevOps practices
• 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

Details

• Location: Hyderabad (PwC Acceleration Center India)
• Management level: Senior Associate