Senior Associate Azure Data Engineer with Microsoft Fabric Analytics Engineer

Role Overview

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

What You Will Do

You will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Why It Might Be a Fit

The ideal candidate will have a strong background in designing, building, and maintaining scalable data solutions using Azure Data Services and Microsoft Fabric. You will work closely with cross-functional teams to deliver high-quality data platforms that drive business insights and decision-making.

Requirements

• 5-10 years of hands-on experience in data engineering and analytics.
• Proficiency in Azure Data Services including: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure SQL Database
• Proficiency in Microsoft Fabric workloads: Data Engineering (Lakehouse, Notebooks), Data Warehouse, Data Pipelines
• Strong programming skills in PySpark, Spark SQL, Python, and SQL.
• Experience with data modeling (dimensional modeling, star/snowflake schemas).
• Knowledge of ETL/ELT design patterns and best practices.
• Experience with Delta Lake and lakehouse architecture.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and collaboration skills.

Benefits

• equal employment opportunities
• inclusive benefits
• flexibility programmes
• mentorship
• zero tolerance for any discrimination and harassment