Description

Build and optimize big data pipelines and datasets within an Azure Data Engineering environment.

This role is on-site.

Responsibilities

• Build and optimize big data pipelines using ETL tools like Azure Data Factory, SSIS, SAS, or Informatica.
• Develop and maintain applications using .NET and .NET Core frameworks.
• Implement data processing workflows using Databricks, Python, and PySpark.
• Manage and query relational databases using SQL and T-SQL.

Required Skills

• 5+ years of experience with Azure Data Factory, SSIS, SAS, or Informatica.
• 3+ years of experience with Azure Databricks using Python and PySpark.
• 3+ years of experience with .NET and .NET Core frameworks.
• Expertise in XML, JSON, and EDI data schema formats.
• Proficiency in C#, Visual Basic .NET, F#, or C++.
• Experience with ASP.NET, MVC 1-6, and ASP.NET Web Api.
• Strong knowledge of SQL Server, T-SQL, and Linq.

Preferred Skills

• Experience with Azure Data Lake Storage.
• Expertise in object-oriented analysis, SOA, and design patterns.
• 5+ years of experience with Power BI or similar visualization tools.

Key Skills

Education

Any Graduate