Data Engineer- Digital Ecosystem Ref# 59353
Data Engineer- Digital Ecosystem, Warren, MI, General Motors. Design, develop, & create 10+ petabyte data model pipeline consisting of high velocity data from heterogenous data sources incl. all GM passenger vehicle diagnostics data, location data, telematics data, DTC data, driving behavior, customer chat data incl. CX, customer text, geoloca-tion, vehicle &customer transactions, & warranty datasets, using Python, SQL &Shell Scripting programming languages, pySpark API, Hive data warehouse, Map-Reduce, Pig, Spark, &HDFS big data ecosystem tools. Design &develop analytic web apps & dashboards, based on system engrg &bus. unit KPIs, to show output of predictive algorithms using PowerBI, Cognos, &Tableau. Build predictive models &algorithms to analyze datasets, using Python, SQL &Shell Scripting, pySpark API, Hive data warehouse, &multi cluster Hadoop environment. Collaborate w/ various internal teams to define OnStar infotainment &telematics products reqmts for vehicle-based services to ensure & enhance data collection in embedded ECUs. Master, Computer Science, Data Analytics, Business Analytics, Information Systems & Technology, Operational Research, or Statistics. 12 mos exp as Engineer or related, designing or developing petabyte data model pipeline consisting of high velocity data from heterogenous data sources incl. diagnostics data, location data, telematics data, &driving behavior datasets, using SQL programming language, &Hive data warehouse, or related. Mail resume to Ref#59353, GM Global Mobility, 300 Renaissance Center, MC:482-C32-C66, Detroit, MI 48265.