Developer, Data Analytics to work in Middleburg Hts., OH: Review and analyze data set. Analyze the existing software infrastructure and determine the most efficient way to extract, transform and load vast amounts of data. Design and develop ETL (Extract-Transform-Load) software architecture to process data from numerous heterogeneous sources. Extract data from large external data sources such as relational databases (Teradata, SQL Server, MySQL, Oracle), distributed storage systems Hadoop (IBM BigInsights, Hortonworks), NoSQL database systems (MongoDB, IBM Cloudant) and web services. Develop SQL Queries aimed at exponentially increasing the performance of heavy traffic databases. Develop SAS software programs for heavy data conversions and develop SAS data step programs using PROC MEANS, PROC COMPARE, and PROC FREQ. Design and configure Secure Notification Service (SNS) and Secure Email Service architectures (SES) and configure Elastic Load Balancer (ELB). Design and develop advanced analytics and visualizations in D3js framework. Design, develop and implement software-based security solutions at every step of software development life cycle (SDLC). Requires a Bachelor’s Degree in Engineering Management/Computer Science (or equivalent based on evaluation of academic credentials, training and/or experience) as well as twenty-four (24) months in job or job related experience to include extract data from large external data sources such as relational databases SQL Server and MySQL; develop SAS software programs for heavy data conversions and develop SAS data step programs using PROC MEANS, PROC COMPARE, and PROC FREQ. Experience may have been gained before, during or after degree. Must ref job code DDA01.