Data Engineer
Analytics
Automation Developer
Azure
Azure Data Engineer
Azure Data Factory
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Cloud Platforms Cloud Platforms
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Data Analytics Tools
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Data Engineer
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Microsoft
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Job Description
This Data Engineer role in Columbia, MO is focused on building and improving cloud-based data pipelines and analytics solutions with Azure.
Responsibilities
- Design and develop data pipelines using Azure Data Factory, Databricks, and other cloud-native services.
- Implement ETL workflows for reliable data ingestion, transformation, and storage.
- Partner with business stakeholders to clarify reporting requirements and deliver actionable insights.
- Develop and maintain Power BI dashboards to support decision-making across teams.
- Optimize data workflows to improve performance, scalability, and reliability.
- Apply data quality practices and uphold data governance standards across systems.
- Troubleshoot and resolve issues affecting data pipelines, integrations, and reporting.
Requirements
- Hands-on experience with Microsoft Azure, including Data Factory, Synapse, and Storage.
- Proficiency with Databricks for big data processing and analytics.
- Strong Python skills for data manipulation, automation, and integration.
- Expertise in Power BI for dashboard creation and data visualization.
- Solid understanding of SQL and relational database concepts.
- Experience with data modeling and performance tuning.
- Excellent communication skills for working with technical and non-technical stakeholders.
Technology Stack
- Azure Data Factory
- Databricks
- Python
- SQL
- Power BI
- Microsoft Azure
- Synapse
- Storage
Location: Columbia, MO (onsite)
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