Data Engineer- Columbus OH

Data EngineerLocation: RemoteCore skills needed:Data Engineering tools and techniques (any ETL/ ELT skills are good to have)Python, XML, XPathSQLAWS Lambda, SQS, Fargate, S3Dev Ops10-12 year of exp must haveProficiency in PythonProficiency in Linux/Unix environmentsExperience building applications for public cloud environments (AWS preferred)Experience with AWS DevOps tools (git, Cloud Development Kit, CDK Pipeline) is highly desiredExperience building applications using AWS Serverless technologies such as Lambda, SQS, Fargate, S3 is highly desiredExperience with Apache Airflow is a plusExperience building containerized applications (Docker, Kubernetes) is a plusSkills Position Responsibilities:Data Engineer is responsible for developing Life Sciences content curation and delivery system for the purpose of building life sciences databases.Develops data transformation and integration pipelines and infrastructure foundations of life sciences content in support of scientific databases and data curationCombines strong software development and data engineering skills with a working knowledge of basic biology/chemistry/physics to develop sophisticated informatics solutions that drive efficiencies in content curation and workflow process. Applies data transformation and other data-engineering software development capabilities to contribute to the building of new scientific information management systems supporting scientific database building activities.Competencies/Technologies:Experience with databases technologies (NoSQL, relational, property graph, RDF/triple store)Experience with data engineering tools and techniques is highly desiredExperience working with XML and XPath is highly desiredExperience with MarkLogic/Xquery is a plus