Senior Azure Data Engineer Toronto

Azure Data Factory and Databricks expertise define this senior Toronto position. Build scalable pipelines with PySpark for Wipro Limited’s cloud data solutions.

Wipro Limited seeks a Senior/Lead Azure Data Engineer to develop large-scale Microsoft Azure data platforms. The work includes ADF, Azure Databricks, PySpark, Autosys, Python, SQL, and ETL/ELT frameworks. Solutions support analytics, reporting, regulatory, and operational requirements through collaboration with stakeholders and architects.

Key Responsibilities:

• Design scalable ingestion and transformation pipelines using Azure Data Factory
• Build and optimize processing solutions with Azure Databricks and PySpark
• Develop batch and near real-time integration workflows
• Implement data quality, validation, reconciliation, and monitoring frameworks
• Schedule and troubleshoot jobs using Autosys and orchestration tools

Requirements:

• Bachelor’s or master’s degree in a related field
• Eight or more years in Data Engineering and Data Warehousing
• Five or more years with Azure Data Platform technologies
• Hands-on experience with ADLS, MySQL, PySpark, SQL, and Autosys
• Proficiency in Python, SQL, distributed computing, and Spark architecture

Bring Azure Data Factory, Databricks, PySpark, and enterprise data engineering expertise to Wipro Limited in Toronto.