Design and implementation of big data systems, ETL pipelines and Data Lakes /Lakehouse/Meshes.
Design and implementation of schema and ontologies.
Design and implementation of data foundation to support AI/ML applications and to support business analytics.
Design and implementation of row/cell level data access control.
Documentation of data definitions and designs.

Requirements

Bachelor's degree with 12+ years of experience or a Master’s degree and 10+ years of experience.
Will consider experience in lieu of the degree requirements.
Active Secret clearance with the ability to obtain TS/SCI clearance.
5+ years of experience with design and development of systems to analyze structured and unstructured large data sets from disparate sources.
5+ years of experience with principals associated with AI/ML applications.
Ability to develop tools, algorithms and queries to improve business performance.
Strong verbal and written communication skills and ability to communicate data engineering to non-technical audience.
Experience working directly with product owners.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

big data systemsETL pipelinesData LakesLakehouseData Meshesschema designontologiesAI applicationsML applicationsdata access control

Soft Skills

strong verbal communicationstrong written communicationability to communicate technical conceptscollaboration with product owners

Certifications

Bachelor's degreeMaster's degreeActive Secret clearanceTS/SCI clearance