Type: Full Time
Lake Trust’s Business Intelligence & Analytics team is a cornerstone to achieve future business objectives. This team is responsible for creating data pipelines, delivering business intelligence solutions, and analysis of complex data sets for Lake Trust Credit Union. The data engineer will lead complex projects with a focus on parsing, extracting, managing, and automating the process of transforming disparate data sets into analysis-ready data. The data engineer should be able quickly develop prototypes and proofs of concept. Some of the tools used will be Microsoft SQL Server, Alteryx, R, Microsoft PowerBI and Python. The Data Engineer role requires creativity with a high attention to detail and drive for data accuracy. If you enjoy working within an agile team this may be a great role for you.
What You’ll Do
The data engineer will work on implementing complex data projects with a focus on collecting, parsing, managing, analyzing large sets of data to turn information into insights using multiple platforms. The Data Engineer will make the appropriate data accessible and available for use by Lake Trust. He or she should be able to decide on the needed hardware and software design needs and act according to the decisions. The data engineer should be able to develop prototypes and proof of concepts for the selected solutions. Some of the tools used will be Microsoft SQL Server, Alteryx Designer and Server, R, Microsoft PowerBI and Azure. The Data Engineer role requires creativity with a high attention to detail and drive for data accuracy. If you enjoy working within an agile team this may be a great role for you.
KNOWLEDGE, SKILLS AND ABILITIES
What You’ll Bring
What You’ll Get
We know that pay and benefits are important. And, we’ve really got that covered. But, we also know that those are not the only things that you need to decide if this is the place for you. Join our team of Lake Trusters and you’ll enjoy:
Company: Lake Trust Credit Union
Email your resume and cover letter to [email protected]. Thank you.
Job listing: https://jobs.github.com/positions/7f6523ff-47da-48e7-8ed6-8c33f16dc40b