Senior/Lead Azure Data Engineer

Wipro; Toronto; On-site; CAD 77,000 - 120,000; Full time

Job summary

Wipro is seeking a Senior/Lead Azure Data Engineer to design and optimize large-scale cloud data platforms on Microsoft Azure in Toronto. You will work with ADF, Azure Databricks, PySpark, and Autosys to build scalable pipelines and enterprise-grade data solutions supporting analytics and governance.

The role requires 8+ years in data engineering, 5+ years on Azure Data Platform, and strong Python/SQL skills. You will mentor juniors and ensure production stability and security compliance.

Qualifications

• 8+ years of experience in Data Engineering and Data Warehousing.
• 5+ years of experience with Azure Data Platform technologies.
• Strong hands-on experience with Azure Data Factory, Azure Databricks, ADLS, MYSQL, PySpark, SQL, Autosys.

Responsibilities

• Design, develop, and maintain scalable data ingestion and transformation pipelines using Azure Data Factory (ADF).
• Build and optimize data processing solutions using Azure Databricks and PySpark.
• Develop and maintain batch and near real-time data integration workflows.
• Implement data quality, validation, reconciliation, and monitoring frameworks.
• Schedule, monitor, and troubleshoot jobs using Autosys and cloud-native orchestration tools.
• Design and implement robust ETL/ELT solutions leveraging Azure cloud services.
• Collaborate with Data Architects to define enterprise data models and standards.

Skills

Azure Data Factory

Azure Databricks

PySpark

Autosys

SQL

Education

Bachelor’s or Master’s degree

Tools

ADLS

MYSQL

Git/Azure DevOps

Job description

City: Toronto

Posting Start Date: 10/23/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

We are seeking a highly skilled Senior/Lead Azure Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have strong expertise in Azure Data Factory (ADF), Azure Databricks, PySpark, and Autosys, with hands-off experience building scalable data pipelines, data transformation frameworks, and enterprise-grade data platforms.

The candidate will collaborate with business stakeholders, architects, and development teams to deliver high-performance data solutions that support analytics, reporting, regulatory, and operational requirements.

Key Responsibilities

• Design, develop, and maintain scalable data ingestion and transformation pipelines using Azure Data Factory (ADF).
• Build and optimize data processing solutions using Azure Databricks and PySpark.
• Develop and maintain batch and near real-time data integration workflows.
• Implement data quality, validation, reconciliation, and monitoring frameworks.
• Schedule, monitor, and troubleshoot jobs using Autosys and cloud-native orchestration tools.
• Design and implement robust ETL/ELT solutions leveraging Azure cloud services.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Collaborate with Data Architects and Solution Architects to define enterprise data models and standards.
• Support production deployments, incident management, and performance tuning activities.
• Ensure adherence to security, governance, and compliance standards.
• Mentor junior engineers and provide technical leadership for project delivery.
• Participate in code reviews, architecture discussions, and best practice implementation.

Required Qualifications

• Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or related field.
• 8+ years of experience in Data Engineering and Data Warehousing.
• 5+ years of experience with Azure Data Platform technologies.
• Strong hands-on experience with:
• Azure Data Factory (ADF)
• Azure Databricks
• ADLS
• MYSQL
• PySpark
• SQL
• Autosys
• Experience designing and implementing ETL/ELT frameworks.
• Strong understanding of distributed computing and Spark architecture.
• Experience working with large-scale structured and semi-structured datasets.
• Proficiency in Python and SQL programming.
• Experience with source control tools such as Git/Azure DevOps.

Mandatory Skills: DataBricks - Data Engineering.Experience: 5-8 Years.The expected compensation for this role ranges from CAD 77000 to CAD 120000 .Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.