Senior Data Engineer  

Job Description:

The Data Engineer is expected to work with the Team in delivering and supporting Data Analytics Requirements. The resource is expected to collaborate with various stakeholders to deliver needed solutions across the organization. Technical expertise is highly expected from the resource to provide solutions and architecture as needed.

Job Requirements:

• Must have at least 4-7 years Relevant experience in Data Engineering.
• Development in Azure Data Factory is a priority but experience with Cloud ETL Looks such as AWS Glue or GCP Cloud Data Fusion/Flow is alo considered.
• Python programming skills in Data Analytics/Big Data is a must.
• Cloud Data Engineering skills in Azure (preferred), AWS, and/or GCP is a must.
• Must have experience working in enterprise environment with Data Warehouse/Data Lake/Data Lakehouse environment.
• Modern Data Architecture and Data Modeling experience.
• Worked on at least 2 enterprise scale projects as a Data Engineer.
• PowerBI or knowledge on BI tools is a must.
• Good communication and writing skills.
• Ability to manage stakeholders.
• Independent can work on his/her own with minimal to zero supervision.
• Machine Learning/AI understanding is nice to have.

• Must have at least 4-7 years Relevant experience in Data Engineering.

• Good communication and writing skills.

• Ability to manage stakeholders.

• Independent can work on his/her own with minimal to zero supervision.

• Machine Learning/AI understanding is nice to have.