Job Description & How to Apply Below
Design and maintain data pipelines using ETL processes.
Develop and optimize SQL queries for data extraction and transformation.
Implement version-controlled workflows using Git.
Create data models and visualizations in Power BI and Microsoft Fabric.
Perform data analysis and support analytical workflows.
Skills Required
5+ Years of experience as Data Engineer
Python for scripting and data processing.
SQL for querying and managing relational data.
Azure cloud services (e.g., Data Factory, Synapse).
ETL tools and frameworks.
Git for version control.
Power BI and Microsoft Fabric for data visualization and analytics.
Strong communication and problem-solving skills.
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