About the position
Garner is seeking a Data Engineer to build data pipelines and ensure ease of access to data within the organization. The ideal candidate should have strong technical skills in Python, SQL, and AWS, and experience with Big Data technologies such as Snowflake, RedShift, BigQuery, or DataBricks. The main responsibilities include building data pipelines, collaborating across disciplines to high-quality datasets, protecting users' privacy and security, and supporting data pipelines in production. The ideal candidate should be mission-driven, love ideating on new features, and excited about researching and working with the latest tools and technologies.
Responsibilities
- Build the data pipelines that power the business
- Collaborate across disciplines to create high-quality datasets
- Protect users' privacy and security through best practices
- Support data pipelines
Requirements
- 2+ years of experience building data pipelines in a fast-paced environment
- Strong Python knowledge
- Experience with Big Data technologies such as Snowflake, RedShift, BigQuery, or DataBricks
- Ability to think in principles and collaborate across disciplines to high-quality datasets
- Protect users' privacy and security through best practices
- Support data pipelines in production