Food Delivery - Weekly Pay at Uber eats — NeverHard

Our Alberta client is looking for a Senior Data Engineer hands-on Microsoft Fabric experience to support the Enterprise Information Management implementation program.The resource will design, build Permanent, Full-time, Part-time Full-time Remote Advantages Work with a provincial crown corporation and prestigious organization in the agribusiness space. Responsibilities Design and build Microsoft Fabric data engineering workloads using Lakehouse, Warehouse, Data Factory, Notebooks, Spark, SQL Endpoint, and OneLake. Implement Raw, Curated, and Trusted data layers for governed data delivery. Build scalable ingestion and transformation pipelines for Salesforce, Oracle/SAP, APIs, files, and other enterprise sources. Develop reusable metadata-driven pipeline patterns for full, incremental, and CDC-style loads. Implement data quality checks, reconciliation rules, schema drift handling, audit logging, and restartable pipeline patterns. Support Microsoft Purview for data discovery, classification, ownership, stewardship, lineage, and certification, and validate lineage from source through Fabric into Power BI. Build Trusted data products that enable certified Power BI semantic models and reporting. Apply CI/CD using Azure DevOps, Git, pull requests, automated testing, and controlled deployments across DEV, UAT, and PROD. Support access controls using Entra ID groups, RBAC, approved identities, Key Vault, and least-privilege patterns. Monitor pipeline performance, troubleshoot production issues, and create operational runbooks. Collaborate with business analysts, source-system SMEs, data stewards, BI developers, platform teams, and governance stakeholders. Produce technical documentation, data mappings, pipeline designs, test evidence, and knowledge-transfer materials; mentor junior team members and contribute to reusable engineering standards. Qualifications 7+ years of experience in data engineering, analytics engineering, BI engineering, or enterprise data platform delivery. 4+ years of experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, or Azure data engineering services. Strong SQL skills and solid understanding of data modeling and data warehousing concepts. Proficiency in Python for data processing, automation, and pipeline support. Hands-on Spark-based data processing and notebook-driven development experience. Experience with Fabric Lakehouse, Warehouse, OneLake, SQL Endpoint, Data Factory, and semantic model enablement. Experience designing batch and incremental data pipelines. Experience applying CI/CD and engineering best practices to data and analytics workloads. #J-18808-Ljbffr