Data Engineer

Responsibilities: Productize prototype models produced by AI / Client team Design and implement cloud architecture to facilitate scalable storage and computing Load and transform data from a variety of sources Engineer data features suitable for consumption by machine learning algorithms Regularly attending team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues. Qualifications: 3+ years of hands-on experience as a data engineer, cloud engineer, or software developer with at least 2 years focused on AI/Client and/or big data solutions Bachelor's Degree or higher in one of the following fields: computer science, data science, or another computational field Python 3 proficiency Experience in providing data architecture solutions for AWS Cloud applications Experience with data migration to cloud based environment Familiarity with database technologies (SQL and NoSQL) Experienced in the use of standard ETL tools and techniques Ability to manipulate raw data into effective visualization dashboards and reports Understanding of data warehousing, data cleaning, data pipelines and other analytical techniques required for data usage Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights Must be a US Person for this role Desired Skills: 5+ years of hands-on experience as a service platform, cloud infrastructure, or data engineer. Experience with map-reduce frameworks such as Hadoop, Spark, etc. Familiarity deploying deep learning (TensorFlow, Keras) frameworks Experience working with remote sensing data, ideally satellite imagery and an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards#J-18808-Ljbffr