Select how often (in days) to receive an alert: Requisition: 64617 Job Purpose Job Duties and Responsibilities Design and implement scalable data models and transformations usingdbt within theMicrosoft Fabric ecosystem. Collaborate with business stakeholders to understand data needs and deliver high-quality datasets. Ensure data quality, consistency, and governance through testing, documentation, and version control. Optimize performance of data transformations and queries across large datasets. Monitor and troubleshoot data workflows and proactively resolve issues. Contribute to the development of best practices and standards for data modeling, transformation, and source control. Education and Qualifications +5 years of experience in data engineering, analytics engineering, or a related field. Proficiency with SQL , ideally indbt (Core or Cloud) for data transformation and modeling. Hands-on experience withMicrosoft Fabric , includingOne Lake ,Lakehouse, Warehouse, and Power BI artifacts. Strong SQL skills and experience working with large-scale data warehouses or lakehouses. Familiarity with Git-based version control and CI/CD practices.



Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience withPower BI semantic models and DAX. Skills and Competencies Experience with data models for SAP ECC, Oracle EBS, and/or QAD strongly preferred. Experience with data models for Salesforce, Get Paid, i Nexus, Concur, SAP S4/HANA, SAP Success Factors, Hyperion Financial Management, Hyperion Planning (PBCS), Siemens Teamcenter. Knowledge of data governance, lineage, and observability tools. Familiarity with Python or other scripting languages. Experience working in Agile or Dev Ops environments. Join our team of 28,000 problem solvers who are fostering a culture of innovation by leveraging the diverse perspectives of our integral team. We believe in facing challenges head-on by finding opportunity and uncovering possibility, where roadblocks and barriers become targets instead of obstacles. We are One Dana with limitless opportunity. #J-18808-Ljbffr

📌 Analytics engineer it (Ejido Querétaro)
🏢 Dana Canada
📍 Ejido Querétaro