Data Engineering PositionResponsibilities:Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience requiredExperience in defining Data & Analytics architecture implementing multiple large volume projects across on Prem and on cloud environments. Preferably AWS cloud.Experience collaborating with Agile teams preferredExpertise in designing, validating, and implementing multiple projects across the hybrid infrastructure (On-cloud to On-Premises and vice versa)Expertise in setting up Data Lakes and analytical environmentsExpertise with Data Engineering/Big data tools such as Python, PySpark, Kafka, API’s, Talend and BODS, etc.Expertise with relational SQL and NoSQL databasesExperience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and DatamartsExperience in building processes supporting data transformation, data structures, metadata, dependency, and workload managementStrong experience with data modelling techniques utilizing tools such as Erwin, ER Studio etc.Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.Experience in message queuing, stream processing, and highly scalable ‘big data’ data storesMeet with Senior & Mid-Level Management to align business process initiatives and strategies with current and planned Penske Data Engineering & Analytics ArchitectureEvaluate Data Engineering & Analytics Tools/Techniques/Approaches and determine impact on strategic objectives and manage overall implementationBe the primary contact and technical lead for multiple critical programs and integrations and resolve customer issues in a timely manner.