Description

You will build and optimize big data pipelines and data sets within an Azure Data Engineering environment.

Responsibilities

• Build and optimize big data pipelines and data sets using ETL tools.
• Develop and maintain applications using .NET and .NET Core frameworks.
• Implement data solutions using Azure Databricks, Azure Data Lake Storage, and PySpark.
• Design and maintain relational databases and complex queries.
• Apply object-oriented analysis, SOA, and design patterns to software development.

Required Skills

• 5+ years of experience with Azure Data Factory, SSIS, SAS, or Informatica.
• 5+ years of experience with Power BI or similar data visualization tools.
• 3+ years of experience with Azure Databricks using Python and PySpark.
• 3+ years of experience with .NET and .NET Core frameworks.
• 1+ years of experience in Azure Data Engineering using Databricks and Azure Data Lake Storage.
• Expertise in XML, JSON, and EDI data schema formats.
• Expertise in relational databases, specifically SQL Server, using SQL, T-SQL, and Linq.
• Proficiency in C#, Visual Basic .NET, F#, or C++.
• Experience with ASP.NET, MVC 1-6, and ASP.NET Web Api.
• Strong knowledge of object-oriented analysis and design patterns.

Key Skills

Education

Any Graduate