Data Engineer- Columbus OH

Job- Data Engineer

Location- Remote

Core skills needed -

Data Engineering tools and techniques (any ETL/ ELT skills are good to have )

Python, XML, XPath

SQL

AWS Lambda, SQS, Fargate, S3,

Dev Ops

10-12 year of exp must have

Proficiency in Python

Proficiency in Linux/Unix environments

Experience building applications for public cloud environments (AWS preferred)

Experience with AWS DevOps tools (git, Cloud Development Kit, CDK Pipeline) is highly desired

Experience building applications using AWS Serverless technologies such as Lambda, SQS, Fargate, S3 is highly desired

Experience with Apache Airflow is a plus

Experience building containerized applications (Docker, Kubernetes) is a plus

Skills

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 curation

Combines 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 desired

Experience working with XML and XPath is highly desired

Experience with MarkLogic/Xquery is a plus