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Requisition: 64617

Job Purpose

Job Duties and Responsibilities

- Design and implement scalable data models and transformations usingdbtwithin theMicrosoft Fabricecosystem.
- 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, includingOneLake,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 modelsand DAX.

Skills and Competencies

- Experience with data models for SAP ECC, Oracle EBS, and/or QAD strongly preferred.
- Experience with data models for Salesforce, GetPaid, iNexus, Concur, SAP S4/HANA, SAP SuccessFactors, 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 DevOps 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.

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📌 Analytics Engineer IT (Santiago de Querétaro)
🏢 Dana Canada
📍 Santiago de Querétaro