
Building Large-Scale Data Systems
7 days ago
We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will have extensive experience in building and maintaining large-scale data processing systems, as well as a strong background in software engineering principles.
Key Responsibilities:- Data Ingestion: Design and implement efficient data ingestion pipelines to handle high-volume data streams from various sources.
- Cloud Infrastructure: Manage and extend cloud infrastructure for data processing, currently running on GCP and managed with Terraform.
- Collaboration: Work closely with scientists to optimize data processing workflows, delivering richer data at bigger scale and lower cost.
- Dataset Roadmap: Collaborate with the AI Team and leadership to craft the dataset roadmap for next-generation consumer and enterprise products.
- Education: BS/MS/PhD in Computer Science or related field.
- Experience: 5+ years of industry experience in software development.
- Skills: Proficiency with bash/Python scripting in Linux environments, Docker, and Infrastructure-as-Code concepts.
- Cloud Provider: Professional experience with at least one major Cloud Provider (we use GCP).
- Large-Scale Data Processing: Experience with web crawlers and large-scale data processing workflows is a plus.
- Communication: Strong communication skills, both written and verbal.
- Fast-Growing Environment: A fast-growing environment where you can help shape the company and product.
- Entrepreneurial Culture: An entrepreneurial-minded team that supports risk, intuition, and hustle.
- Autonomy: A hands-off management approach so you can focus and do your best work.
- Impact: Opportunity to make a big impact in a transformative industry.
- Competitive Compensation: Competitive salaries and a commitment to building a great asynchronous culture.
- Innovative Products: Opportunity to work on life-changing products that millions of people use.
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