How you will make an impact
- Design, implement, and maintain efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Nomi’s platform
- Support automated processes for complex data analysis, management, and visualizations that incorporate data governance
- Make decisions on complex data issues regarding technical approach for project components and reporting requirements
- Design and implement data model changes that align with Nomi’s standards
- Develop and execute testing strategies to ensure high quality data
- Work with different teams within Nomi to reach end goals
What we are looking for
- Hybrid working onsite 3 days a week (Tuesday, Wednesday, Thursday) in our Austin office
- 2+ years in data engineering or related field
- Skilled with NoSQL and SQL (Snowflake)
- AWS (preferred but not required) resources such as lambdas, docDB, EC2
- Data first approach
- Experience with Python, Git, and Jira
- Experience with sensitive data is a bonus
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