Data Engineer

Data Engineer

Location: Minneapolis, MN

Duration: 6 months with a possible extension

Jim's team focuses on the back of the house. Data strategy has matured to be technical and analytical. They use digital twin, supplier twin, and plant twin. They are full service BI. They are getting data out of legacy source servers (structured and unstructured) putting it into pipelines. Jim wants this person to understand data when they are moving it around. This is for internal clients.

They want thinkers, someone that can come in and be collaborative. They are focusing on Azure not AWS.

Top 3 skills:

• Classic SQL server management
• Experience with Snowflake
• Some exposure to analytics

Python or R

Agile team environment

Team size: Including contract resources - 15 people

Data scientist work closely with data engineers

Want someone local to MN

Interview process:

Two sessions (first screen with Jim)

Remote for now but hoping to go into locations soon

Job Description:

Data & Analytics team works with business leaders across the enterprise to drive optimized strategy using data. This position contributes to the client’s success by building cloud-based data services for analytic solutions. You will build data pipelines that are scalable, repeatable, secure and adhere to data quality standards. Responsibilities also include evangelizing data on cloud solutions with customers, leading business and IT stakeholders through designing a robust, secure and optimized Azure architecture, and delivering the target solution. This role will involve working with customers and collaborating with internal engineering teams, development of new application functionality, as well as maintenance and support of source code for existing Azure and Snowflake data platforms using the Azure data services.

Responsibilities:

• Translate business requirements into technical requirements to ensure solutions meet business needs
• Analyze, design, build, query, troubleshoot and maintain data pipelines (Azure Data Factory, Snowflake, Azure SQL)
• Design and develop cloud data stores (Snowflake, Azure SQL)
• Integrate API (Services) to the data management platform
• Ability to gather requirements, design and execute a solution end to end
• Investigate new technologies to improve data pipelines

Qualifications:

• Bachelor’s degree in computer science, management information systems, or related, or equivalent experience
• Experience using Microsoft Azure for Data and Analytics solutions (Data Lake Store, Blob, SQL, Functions, Data Factory) 2+ years
• Expertise in languages like SQL, Python, R 1+ Years
• Web Application security, SSL, Active Directory, Auth0 Familiarity Desirable
• 2+ years overall Data Engineering experience