Data Engineer

We have opening for Data Engineer, these have to be data focused, not developers. Know how to convert business logic into dataframe, must have strong Python experience. Must have prior experience within healthcare insurance. Below is the technology stack, candidates have to have the experience below.

Top Skills' Details • Python Experience required - must be data focused not developers: know how to convert business logic into dataframes -- 5-10+ years in relevant business field (Insurance / Healthcare) This is going to be more Python, with datastage ideally. An absolute plus would be if they have done a gcp cloud conversion on data warehouse but given the rate that I probably doubtful. • Proven experience in understanding business logic embedded in legacy technologies (such as Data Stage, SAS Logic) and have code conversion experience to modern ELT logic (such as Pyspark / SQL Stored Procedures) • Proven experience with major Database systems preferably SQL Server • Strong SQL background... Must be able to independently query and analyze data • Good understanding / Working experience with Tableau / Hadoop Technologies • ETL project experience. Must have direct engineering / data processing experience in at least 3 data integration projects which must include experience developing requirements and specifications for ETL code. Ideally full Life Cycle Experience in Data Warehouse implementation projects

Plus: cloud conversion to GCP • Strong understanding of software architecture and programming principles to provide guidance to internal staff and end users in the process of designing data integration solutions to solve business challenges • Excellent problem-solving and analytical skills, including ability to reach cross-functional agreements -- Good understanding / Working experience with Tableau / Hadoop Technologies