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.

📌 Senior Azure Data Engineer Toronto
🏢 Wipro
📍 Toronto