Data Engineer - Python / C# / Azure / Power BI
SoftPathTechnologies
Job Title: Data Engineer Python / C# / Azure / Power BI
Position: FTT
Location: Redmond, WA Job Summary
We are looking for a Data Engineer with strong experience in Python or C#, SQL databases, Azure data services, ETL development, API integration, monitoring, and Power BI .
The engineer will be responsible for building dependable data pipelines, integrating multiple data sources, analyzing operational data, maintaining data quality, and developing dashboards that provide actionable business insights.
Required Qualifications-
Bachelor's degree in Computer Science, Engineering, or related field
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5+ years of experience with Python or C#
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5+ years of experience working with databases
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Strong SQL experience
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Experience with Cosmos DB
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2+ years of ETL/data pipeline development
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Experience with Azure Data Factory or equivalent ETL platforms
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Experience with KQL/Kusto
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Experience with application/log monitoring systems
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3+ years of Power BI dashboard development and maintenance
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Experience working with REST APIs and data integrations
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Strong analytical and troubleshooting abilities
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Python
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C# / .NET
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SQL
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KQL / Kusto
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Cosmos DB
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Azure Data Factory
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ETL / ELT
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Power BI
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Azure DevOps
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REST APIs
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Application Insights
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Log Analysis
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Workflow Integration
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Build and maintain data pipelines using Python, Azure Data Factory, or related technologies
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Integrate information from APIs, data lakes, applications, and external systems
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Develop data validation and quality-control processes
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Troubleshoot data pipeline and database issues
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Analyze application and system logs using SQL, KQL, and monitoring platforms
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Create and maintain Power BI dashboards and reporting solutions
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Develop API-based data integrations and automated workflows
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Monitor data pipelines and identify potential failures or inconsistencies
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Improve data processing performance and reliability
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Work with engineering teams to deliver scalable data solutions
Candidates should have a combination of data engineering, Azure, programming, database, and analytical experience , with the ability to work independently on data integration, pipeline development, troubleshooting, and reporting initiatives.
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