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.

#J-18808-Ljbffr

📌 Senior Azure Data Engineer Toronto (Ontario)
🏢 Wipro
📍 Ontario