houston energy corridor duration 2 years we need strong technical expertise in data engineering but beyond that this is an opportunity to help us setup a bestpractice data science process to help us determine the direction of future tooling and to be a central part of a team that will spearhead how the company engages in data science essential strong experience with python and relevant libraries pyspark pandas etc the ability to work across structured semistructured and unstructured data extracting information and identifying irregularities and linkages across disparate data sets meaningful experience in distributed processing spark hadoop emr etc deep understanding of information security principles to ensure compliant handling and management of client data experience working collaboratively in a closeknit team and in clearly communicating complex solutions experience in traditional data warehousing etl tools sap hana informatica talend pentaho datastage etc experience and interest in cloud infrastrupythoncture azure aws google platform databricks etc and containerisation kubernetes docker etc desirable experience programming with julia experience or interest in building robust and practical data pipelines on top of cloud infrastructure pachyderm kubeflow etc bonuses to include as part of your application links to online profiles you use such as github twitter etc a description of your work history whether as a resume or linkedin profile sunny patel national sap delivery lead digital intelligence systems disys it consulting services email sunnypateldisyscom