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Title:  Azure Data Engineer

Requisition ID:  51599
City:  Toronto
Country/Region:  CA
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

Role Purpose

The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists.  
 

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Tech lead: Experienced Azure Data Engineer Lead, Data Modeler, and Solution Designer. This hybrid role will combine leadership, data engineering, and solution design responsibilities.

ideal candidate will have extensive expertise in building and managing cloud-based data solutions, designing complex data models, and leading teams to deliver large-scale data projects. Will work closely with business stakeholders and technical teams to define data architecture and ensure the seamless integration of data systems.

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent experience.

• 7+ years of experience in data engineering, solution design, and data modeling, with at least 3 years focused on Azure data services.

• Strong experience with Microsoft Azure services, including Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, and Azure Databricks.

• Expertise in designing data models for both transactional and analytical data systems, with a deep understanding of star schema, snowflake schema, and normalization techniques.

• Solid experience with ETL development, data pipelines, and data integration processes.

• Advanced knowledge of SQL and other data processing languages (e.g., Python, Scala, or Spark).

• Familiarity with Azure DevOps, version control, and CI/CD practices for data engineering solutions.

• Strong understanding of cloud security, data governance, and compliance practices.

Preferred Qualifications:

• Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert.

• Experience with Power BI for data visualization and reporting.

• Expertise in big data technologies like Hadoop, Spark, or Kafka in an Azure environment.

• Knowledge of machine learning models and integration with Azure Machine Learning or Databricks.

• Strong problem-solving skills and the ability to innovate and drive solutions in complex, large-scale environments.

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Deliver

No Performance Parameter Measure
1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT
2 Team Management Productivity, efficiency, absenteeism
3 Capability development Triages completed, Technical Test performance

 

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicates 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.

If you encounter any suspicious mail, advertisements, or persons who offer jobs at Wipro, please email us at helpdesk.recruitment@wipro.com. Do not email your resume to this ID as it is not monitored for resumes and career applications.

Any complaints or concerns regarding unethical/unfair hiring practices should be directed to our Ombuds Group at ombuds.person@wipro.com.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

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.

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