Description Seeking a Data Engineer to design, build, and maintain modern data pipelines, data models, reporting solutions, and analytics platforms. This role will support enterprise data initiatives using Microsoft Fabric, SAP, SQL, and Power BI while ensuring scalable, secure, and high-performing data solutions.
Key Responsibilities:- Build and maintain ETL/ELT data pipelines from SAP, SQL, and other enterprise data sources.
- Develop and optimize data models within Microsoft Fabric for reporting and analytics.
- Create and enhance Power BI dashboards and reports.
- Utilize Power Apps and Power Automate to support data workflows.
- Develop and support data science and analytical models.
- Monitor and troubleshoot data pipelines, Lakehouse environments, and reporting solutions.
- Support data governance initiatives by improving data quality and consistency.
- Implement scalable, reusable solutions following CI/CD and best practices.
Requirements - 5+ years of Data Engineering experience.
- Hands-on experience with Microsoft Fabric (Lakehouse, OneLake, Data Factory, Synapse, Power BI, Delta Tables, Notebooks).
- Experience with SAP Datasphere, including replication and data flows.
- Advanced SQL skills and proficiency with PySpark and/or Python.
- Experience with Azure DevOps or other CI/CD tools.
- Strong analytical, problem-solving, and communication skills.
- Experience with Medallion Architecture and modern Lakehouse design patterns.
- Industry experience in manufacturing or agriculture is a plus.
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