Senior Associate Azure Data Engineering

About the role

Data & Analytics Advisory at PwC focuses on turning data into actionable insights for clients. The Senior Associate designs, builds and optimizes Azure‑based data pipelines, models and warehousing solutions using Python, Databricks, Data Factory and Spark. Works on the Noida office, on‑site model.

What you’ll do

• Design, develop and manage scalable Azure Databricks and Data Factory pipelines
• Write clean Python code for cloud automation and data processing
• Architect cloud‑based data solutions integrating structured and unstructured sources
• Build and optimize ETL workflows and data models for OLTP/OLAP systems
• Manage Azure Data Lake and Blob storage solutions
• Troubleshoot performance bottlenecks in data flows
• Integrate advanced analytics and BI use cases within Azure ecosystem
• Lead code reviews and enforce Git version control

What you’ll bring

• 6+ years overall cloud or data engineering experience
• 2-3 years hands‑on Azure services (Databricks, Data Factory)
• 2-3 years Python development for data pipelines
• Strong SQL proficiency
• Experience with Azure Data Lake/Blob storage
• Hands‑on Apache Spark experience
• Data modeling (normalization & denormalization)
• Git version control

Skills