Senior Azure Data Engineer
Summary
Senior Associate Azure Data Engineer at PwC in Toronto: designs and builds scalable data ingestion, transformation, and curation pipelines on Azure using Data Factory, Databricks, and Synapse. Applies SQL, Python, and ETL/ELT expertise, with data quality checks, monitoring, and collaboration with scientists, analysts, and business stakeholders.
Design Azure data solutions at PwC using Data Factory, Databricks, and Synapse Analytics. This Senior Associate role supports project teams delivering reliable pipelines.
As a Senior Associate, Azure Data Engineer, you will build scalable ingestion, transformation, and curation solutions. You will apply SQL, Python, and ETL or ELT expertise across Azure data services. Your work will include data quality, modelling, deployment support, and collaboration with specialists and stakeholders.
Key Responsibilities:
- Design scalable Azure pipelines for ingestion and transformation
- Build solutions using Data Factory, Databricks, and Synapse
- Implement data quality checks, monitoring, and error handling
- Troubleshoot development, testing, and deployment issues
- Collaborate with scientists, analysts, and business stakeholders
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or related field
- Hands-on experience with Azure data services
- Proficiency in SQL, Python, and ETL or ELT
- Hands-on Power BI experience
- Strong analytical, problem-solving, and communication skills
Bring Azure engineering, SQL, Python, and data quality expertise to PwC’s Senior Associate data solutions work.