Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Kirkland, WA, United States
Posted
20 hours ago
SQLETLAzureC#GrafanaPower BIPython
Job Description
Data Engineer (C#.NET experience)
Redmond, WA
Fulltime Position.
Primary Skills
Python OR C# experience, DB (KQL, SQL and Cosmos DB), ETL , Azure Data Factory, Log Analysis, Power BI Dashboard, Azure DevOps, APIs and workflow integration
Job Description
Requirements
Bachelor's degree in computer science or other engineering disciplines
5+ years of Python or C# experience
5+ years of experience with database systems (SQL, Cosmos)
2+ years of experience with ETL (python, Azure Data foundry or similar) and log analysis systems (SQL, Kusto, Application Insights, Grafana, etc.)
3+ years’ experience creating and maintaining PowerBI dashboards
Strong analytical skills - able to synthesize complex information and large datasets to drive decisions
Responsibilities
· Integrate data from various internal and external sources such as APIs, data lakes, and third-party applications
· Ensure the quality and consistency of data through the implementation of validation checks and automated testing
· Identify and troubleshoot data-related issues, proposing solutions for improvements
· Implement data pipelines that provide clean, accessible, and real-time data for analytical purposes
Bachelor's degree in computer science or other engineering disciplines
5+ years of Python or C# experience
5+ years of experience with database systems (SQL, Cosmos)
2+ years of experience with ETL (python, Azure Data foundry or similar) and log analysis systems (SQL, Kusto, Application Insights, Grafana, etc.)
3+ years’ experience creating and maintaining PowerBI dashboards
Strong analytical skills - able to synthesize complex information and large datasets to drive decisions
Responsibilities
· Integrate data from various internal and external sources such as APIs, data lakes, and third-party applications
· Ensure the quality and consistency of data through the implementation of validation checks and automated testing
· Identify and troubleshoot data-related issues, proposing solutions for improvements
· Implement data pipelines that provide clean, accessible, and real-time data for analytical purposes
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