Data Engineer

Skill Sets & Experiences—

• Experience modeling using RDF TripleStore for Graph Database
• Strong experience using SQL
• Strong experience using  SPARQL within AWS Neptune/Anzo experience

 As a Data Engineer you will:

• Deliver quality work with little oversight and direction
• Ensure all project deliverables are high quality by adhering to coding standards and best practices and participating in code reviews
• Participate in integrated testing sessions of components and subsystems
• Solve business issues by identifying and analyzing detailed requirements that translate business requirements into data integration and database system designs
• Deliver status updates to team members on a regular basis and escalate issues and risks to project management as needed
• Work collaboratively across teams and with other specialized individuals
• Thrive in a fast-paced, technical environment

The ideal candidate has experience in column-oriented database technologies (i.e. Big Query, Redshift, Vertica, etc.) and traditional database systems (SQL Server, Oracle, MySQL, etc.); experience with data integration projects and automation via ETL Tools (i.e. Talend, Informatica, SSIS, etc.); experience working with different query languages (i.e. PL-SQL, T-SQL); experience in at least one programming language (i.e. Java or Python). Experience in data integration automation via Google DataFlow, Apache Beam, Spark, AWS EMR, etc. a huge plus.