Job Details

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

• 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.

• 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