Ontario Azure Data Engineer CAN

Job description

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 – Databricks Data Engineer We are seeking an experienced Databricks Data Engineer to design, develop, and optimize enterprise-scale data platforms on Azure. The ideal candidate should have strong hands-on expertise in Azure Databricks, PySpark, Delta Lake, Azure Data Factory, and modern Lakehouse architectures. The role requires working closely with business stakeholders, data architects, and analytics teams to deliver scalable, high-performance data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Azure Databricks and PySpark. Build and optimize ETL/ELT workflows for processing large volumes of structured and unstructured data. Develop and manage Delta Lake-based Lakehouse solutions following Medallion Architecture (Bronze, Silver, Gold). Integrate data from multiple sources including databases, APIs, cloud storage, and enterprise applications. Create and maintain data ingestion frameworks using Azure Data Factory (ADF). Optimize Spark jobs, cluster configurations, and storage structures to improve performance and reduce costs. Implement data quality, validation, monitoring, logging, and alerting mechanisms. Collaborate with Data Architects and Business Analysts to gather and translate business requirements into technical solutions. Implement security, governance, and access controls using Unity Catalog and Azure security services. Support CI/CD deployment processes using Azure DevOps, Git, and automated release pipelines. Participate in code reviews, design discussions, and knowledge-sharing initiatives. Troubleshoot production issues and provide operational support for critical data pipelines. Mandatory Skills Databricks & Big Data Azure Databricks Apache Spark PySpark Spark SQL Delta Lake Databricks Workflows Unity Catalog Azure Data Services Azure Data Factory (ADF) Azure Data Lake Storage (ADLS Gen2) Azure Key Vault Azure Synapse Analytics Programming & Database Python SQL / T-SQL Data Modeling Data Warehousing Concepts DevOps & Version Control Azure DevOps Git/GitHub CI/CD Pipelines Preferred Skills Snowflake Microsoft Fabric Kafka/Event Streaming Power BI Terraform/IaC Azure Functions REST API Integration Data Governance and Metadata Management Desired Experience 6+ years of overall Data Engineering experience. Minimum 3+ years of hands-on experience with Azure Databricks and PySpark. Experience building enterprise-grade Lakehouse architectures. Strong understanding of performance tuning and optimization techniques for Spark workloads. Mandatory Skills: DataBricks - Data Engineering . Experience: 3-5 Years . The expected compensation for this role ranges from CAD 57000 to CAD 90000 . 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. 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Tous les candidats qualifiés recevront une considération pour l'emploi sans égard à la race, la couleur, la caste, la croyance, la religion, le sexe, l'état matrimonial, l'âge, l'origine ethnique et nationale, l'identité de genre, l'expression de genre, l'orientation sexuelle, l'orientation politique, le statut d'invalidité, le statut de vétéran protégé, ou toute autre caractéristique protégée par la loi. Wipro s'engage à créer un lieu de travail accessible, favorable et inclusif. Des aménagements raisonnables seront fournis à tous les candidats, y compris les personnes handicapées, tout au long du processus de recrutement et de sélection. Les aménagements doivent être communiqués à l'avance de la candidature, dans la mesure du possible, et seront examinés sur une base individuelle. Wipro offre des opportunités égales à tous et valorise la diversité. Wipro.com Explore All Jobs Privacy policy Terms of use Fraud Awareness Wipro Locations Cookie Consent Manager Opens in a new tab. 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