About the Role
As a Senior Data Engineer at O'Reilly, you will be instrumental in developing and maintaining advanced data pipelines and infrastructure to support our expansive digital learning platform. This role requires a deep understanding of data engineering principles and hands-on experience with high-scale data systems.
Responsibilities
- Develop and maintain robust data pipelines using Python and tools like Google BigQuery, Amazon Redshift, and Elasticsearch.
- Collaborate with product managers to define project requirements and deliverables.
- Implement features and perform maintenance on existing systems, ensuring high reliability and performance.
- Participate in code reviews and maintain high standards of code quality.
- Engage in troubleshooting and resolving production issues as they arise.
- Contribute to the continuous improvement of our data architecture and practices.
Skills and Experience
- At least 3 years of professional experience in data engineering.
- Proficiency in Python, PostgreSQL, and building scalable ETL pipelines.
- Experience with cloud data services like Google Cloud Dataflow and Amazon Redshift.
- Familiarity with Docker, Talend, Fivetran, and Jenkins for CI/CD pipelines.
- Strong communication skills and the ability to work effectively in a distributed team environment.
Why Join Us?
- Opportunity to work with a team of experts passionate about data and technology.
- Remote work flexibility, allowing you to work from anywhere.
- Engage in meaningful work that impacts millions of learners worldwide.
This role is ideal for someone who is driven, curious, and passionate about leveraging data to drive educational innovation. If you're looking to make a significant impact in a dynamic, supportive environment, we'd love to hear from you.
Benefits Extracted with AI
- Remote work flexibility
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