Responsibilities & SkillsIT Professional 10+ years of comprehensive experience in the Software Development Life Cycle (SDLC), specializing inAzurestackwith a proven track record of leveragingMicrosoft Azure/Cloud Servicesto architect and implement scalable data solutions. Skilled in utilizing SQL Data Warehouse, Azure SQL Server, Snowflake,Azure Data Lake, Azure Blob Storage,Azure Databricks, andAzure Data Factoryfor efficient data processing, storage, and analytics (Power BI).Design and implement scalable data pipelines using Azure Data Factory, Azure Databricks, Synapse and Snowflake Analytics.Develop data models and optimized data storage solutions usingAzure SQL Database, and Azure Data Lake (Blob Storage).Experience in Azure fabric framework (creating lake house, warehouses).Experience in working with One lake and Delta Lake for fabric workspaces.Experience in migration of on-premises data warehouse to Snowflake,Azure Synapse Analytics, enhancing data accessibility and reporting capabilities.Experience in designing and developing scalable data processing frameworks using Apache Spark, enabling efficient processing and analysis of large datasets in both batch and streaming modes.Proficiency inPyspark ,SparkSQLfor developing notebooks in Databricks.Experience in Spark SQL for developing notebooks in Synapse.Have worked on Event Hubs for processing streaming data into Databricks.Experience in loading/writing data into Azure Data Lake using ADF, Databricks, Synapse Analytics.Proficiency in writingcomplex SQL queriesand stored procedures.



Proficient in optimizing database performance, ensuring efficient data retrieval, and implementing robust data manipulation logic.Proficiency in creating near real-time data pipelines, Enterprise Data Warehouses (EDW), DataMarts, and audit and control frameworks. Skilled in designing and implementing solutions that ensure data integrity, compliance, and effective reporting.ImplementedCI/CD pipelinesusingAzure DevOps, including automated build, test, and deployment processes.Designed and implemented a comprehensive framework of controls for the data governance team, ensuring data adheres to standards of accuracy, completeness, consistency, and compliance.Led the design and development of robust data loading frameworks and products, enabling productive and reliable data ingestion, transformation, and integration across multiple platforms.Design and develop dashboards, reports inPower BI tool .Mandatory Skills: Azure Databricks – Data Engineering.Experience: 5–8 Years.The expected compensation for this role ranges from CAD 77,000 to CAD 120,000.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.#J-18808-Ljbffr

📌 Azure Data Engineer - C$77,000 - C$120,000 A Year (Winnipeg)
🏢 Wipro
📍 Winnipeg