Senior Data Engineer
Remote
Applications have closed
Zest AI
Accurately assess, confidently decision, and perpetually optimize your lending business with proven AI technology. Zest AI is for lenders that want to create a smarter, inclusive, and more efficient lending process, to be agile and confident...ZestFinance, Inc. d/b/a ZEST AI seeks a Senior Data Engineer in Burbank, CA.
Duties:
- Design and implement robust end-to-end data pipelines
- Architect, develop, and maintain enterprise data warehouse
- Create and manage data pipelines - sourcing data from databases, streaming data, various web APIs, etc.
- Integrate data from data warehouse into 3rd party tools to make data actionable
- Provide ongoing maintenance and enhancements to the data pipeline
- Ensure data quality through automated testing
- Collaborate with analysts, engineers and business users to design solutions
- Research innovative technologies and make continuous improvements
- Work with our Data Science, Product and Business Analytics teams to define requirements, design and build the next generation of our product roadmap features
- Identify and evangelize programming best practices with the Data Engineering and Modeling teams
- Work closely with Analysis to ensure quality & availability of data in the Data Warehouse along with support of our Business Intelligence platform
Telecommuting permitted.
Requires a Bachelor's degree in Computer Science, IT, Mathematics or a related field (or its equivalent plus two (2) years of experience in related occupations.
Requires one (1) year of experience with the following:
- Python
- ETL
- Spark
- Data Warehouse
40 hours/week, $160,000.00 - $190,000.00 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref #53990.
By submitting this application, I acknowledge and confirm that I have reviewed the Employment Privacy Policy and agree to the use of my information as set forth in the Policy.Tags: APIs Business Analytics Business Intelligence Computer Science Data pipelines Data quality Data warehouse Engineering ETL Machine Learning Mathematics Pipelines Privacy Python Research Spark Streaming Testing
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