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Data Engineer
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We are seeking someone who is ambitious about providing our customers with data-driven insights and valuable outcomes in their clinical, financial, and operational performance.
We are looking to add a Data Engineer to our Analytics team to assist our customers in achieving their business goals. As we continue to grow our Analytics team, we are searching for people who are passionate about asking and answering questions using data.
As part of our team, you will be involved with technical design, development, and maintenance of the data warehouse, ETL processes, databases, and reporting and analytic applications for our customers.
Additionally, the Data Engineer will translate clients' objectives and requirements into robust Data Warehouse/Business Intelligence solutions that are scalable and address current needs, while remaining flexible and extensible to adapt to future needs and requirements.
Requirements:
Bachelor's degree in business, finance, information technology, computer science, statistics, mathematics, analytics, related field or equivalent combination of education and experience.
Two or more years of hands-on experience
Experience in extracting, cleaning, preparing and modeling data
Experience with command-line scripting, data structures, and algorithms
Work with large amounts of data on a granular level
Experience building enterprise-level ETL with Python, SSIS or other tools.
Preferred Qualifications:
Experience working in an Agile Software Development environment.
Experience with Python data libraries
Experience with enterprise data handling via SQL
Experience with business intelligence tools such as Sisense, or PowerBI.
Experience with project management tools such as Asana
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