: We rely on powerfully insightful data to inform our systems and solutions, and were seeking an experienced pipeline-centric data engineer to put it to good use. The ideal candidate will have the expected mathematical and statistical expertise, combined with a rare curiosity and creativity. This person will wear many hats in the role, but much of the focus will be on building out our Python ETL processes and writing superb SQL. Beyond technical prowess, the data engineer will need soft skills for clearly communicating highly complex data trends to organizational leaders. Were looking for someone willing to jump right in and help the company get the most from its data. Responsibilities Create and maintain optimal data pipeline architecture Assemble large, complex data sets that meet business requirements Identify, design, and implement internal process improvements Optimize data delivery and re-design infrastructure for greater scalability Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs

Knowledge/Skills/Abilities Bachelors degree (or equivalent) in computer science, information technology, engineering, or related discipline Experience in building or maintaining ETL processes Professional certification 4 to 5 years of experience with Python, SQL, and data visualization/exploration tools Familiarity with the AWS ecosystem, specifically Redshift and RDS Communication skills, especially for explaining technical concepts to nontechnical business leaders Ability to work on a dynamic, research-oriented team that has concurrent projects

Work Experience Requirements: Minimum 6+ years of professional experience in Data Engineering

Note: Select Minds LLC. seeks Masters + 6 yr. Exp/Equiv.: Data Engineer (SMDEII56). Mail resume with job ID # to HR: 1750 E Golf Rd, Suite 395 C, Schaumburg, IL 60173. Unanticipated worksite locations throughout U.S. Foreign Equiv. accepted. #J-18808-Ljbffr