Job Information
Aunalytics, Inc. Senior Data Engineer in South Bend, Indiana
As a Senior Data Engineer, you will work independently to design strategies for enterprise database systems and set standards for operations, programming, and security. Critical at all stages of the data science process, Data Engineers work cross-functionally with both external and internal teams - from business analysts to data scientists; web app developers to platform engineers; IT teams to high-level executives. Design and construct large relational databases. Integrate new systems with existing warehouse structure and refine system performance and functionality. Will serve as a data expert who understands how a clients data fits into our Industry Intelligent data models. Utilizing this knowledge and the industrys newest technologies, will create high performance databases that become the very foundation of the work we do. Will build and own one source of truth data sets to facilitate consistency and efficiency in extracting and analyzing data from disparate data sources. Will ensure data integrity by developing and executing necessary processes and controls around the flow of data. Will apply mathematical skills and knowledge in combination with computer science and programming skills and knowledge to innovate and improve efficiency of managing data to allow for greater speed and accuracy of producing analyses, metrics, and insights. Will collaborate with internal and external teams to understand business needs/issues, troubleshoot problems, conduct root cause analysis, and develop cost effective resolutions for data anomalies. Will provide input into data governance initiatives to enhance current systems, ensure development of efficient application systems, influence the development of data policy, and support overall corporate and business goals. In the performance of these complex and highly technical responsibilities, will use technology to analyze data from applicable systems to review data processes, identify issues, and determine actions to resolve or escalate problems that require data, system, or process improvement. Will verify the accuracy of table changes and data transformation processes as well as test changes prior to deployment as appropriate. Will be called on to recommend and implement enhancements that standardize and streamline processes, assure data quality and reliability, and reduce processing time to meet client expectations. Will stay up-to-date on data engineering and data science trends and developments and will follow company policy and procedures which protect sensitive data and maintain compliance with established security standards and best practices. Will perform other related professional responsibilities as may be needed.