What you'll do:
- Create and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, leveraging solutions like Terraform, Stitch, dbt and Snowflake.
- Design and implement high-performance, reusable, and scalable data pipelines into and out of our data warehouse to ensure end-users get consistent and reliable answers to their questions.
- Communicate and partner with Dev-Ops and Product Engineering to build scalable data pipelines out of application data and event streams.
- Enable other engineers on the team with well designed CI/CD pipelines that build confidence in data deployments.
- Actively contribute to the adoption of strong data engineering architecture, development practices, and new technologies.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Be an advocate for data governance, security, privacy, quality, and retention.
What you should have:
- 5-8 years of experience building/operating/maintaining fault-tolerant and scalable data pipelines from a large set of disparate sources using AWS, Snowflake or other relevant technologies.
- Excellent knowledge of SQL and an object oriented programming language (Python, Java, etc.)
- BS/MS degree in Computer Science or equivalent industry experience.
- Rigorous attention to detail and accuracy.
- Excellent communication skills (we’re a geographically distributed team, 100% virtual).
- Curiosity and a drive to understand and clarify complex topics.
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