Recognize the Data Catalog stack and constantly enhance it
Analyze the company's massive dataset of individuals and organizations to produce insightful understandings of data quality/coverage concerns and suggest upcoming changes
Create effective algorithms that run over the current dataset to enhance the quality and coverage of the data
Establish procedures and controls to keep an eye on the quality of the data so that production data is always reliable and accessible
Collaborate with technical, product, and business owners to identify and define essential business questions and generate data sets that answer those questions
Develop a plan for a long-term data platform architecture by working closely with all business divisions and engineering teams
Build tasks to fill data models in the data warehouse using company data models
Develop a plan for a long-term data platform architecture by working closely with all business divisions and engineering teams
Act with the highest integrity and be organized, meticulous, and very detail-oriented
Job Requirements:
Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
At least 3+ years of relevant experience as a back-end engineer
Prolific experience working with Data Engineering and Data Analytics
Extensive experience with Ruby on Rails
Nice to have some understanding of Python and Machine Learning
Requires critical thinking and established problem-solving abilities
Enjoy data analysis and producing new ideas, and have previously worked with production systems in the past