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