Data Engineer

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As a Data Engineer, you will build industrialized data assets and data pipelines in support of Business Intelligence and Advance Analytic objectives. The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI developers, System Architects, and Data Architects to deliver value to our vision for the future.

Our team focuses on writing maintainable tests and code that meet the customer’s need and scale without rework. Our engineers and architects work in highly collaborative environments across many disciplines (user experience, database, streaming technology, custom rules engines, and ai/ml and most web technologies). We work on innovative technologies – understanding and inventing modern designs and integration patterns along the way.

Top 3 Skills

1) 5-7 years of experience building ETL

2) Working with azure cloud technologies

Degree Requirement – Bachelor Degree in the data space or a related field (computer science, information technology, mathematics are good fields)

Expert in multiple tools and technologies including Azure and Databricks

Scala, Spark, Python, SQL, .NET, REST API, Angular

SQL Server, Postgre

SQL, SQL Server Integration Services (SSIS), Complex ETL with massive data, PowerBI

Daily Breakdown – every day is mostly the same, come in and start their daily responsibilities, has stand ups where they discuss the work that they have on top for the sprint, where they are at if there are any blockers, if they need help expediting the work with leadership, very independent working but still around other team members that will be working on the same data, some interaction with their business partners, understanding what is needed.

Some adhoc meetings that may come up that they have to attend. Define what the scope of the sprint is going to be prior to the sprint, they have a lot of backlog to fulfill, sometimes priorities change they might be working on something and have to switch to something more critical.

Scope is defined in 3 week sprints - what’s assigned should be delivered in this timeframe

Interaction level with team – team of 9 data engineers, 2 data engineer testers 4 in Michigan and the rest are in different states. Interacting mostly with the people in Michigan.

They are looking for someone who is passionate about data and data quality, someone who has high interest in this will be a great fit. They handle critical data to get cars delivered to the customers and the bottom line for company, data passion and the ability to provide the products to customers

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function
  
  Information Technology
• Industries Staffing and Recruiting

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Vision insurance

401(k)

Medical insurance

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