Large Scale Data Innovator
6 days ago
- Our team is looking for a skilled data engineer to join our ranks.
- The ideal candidate will have hands-on experience building production-grade pipelines at scale (terabytes of data).
- A strong background in AWS services and big data best practices is essential.
- The ability to collaborate closely with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines is crucial.
- Additionally, the candidate should be able to continuously monitor, optimize, and improve data workflows for performance and cost efficiency.
- (Nice to have) Experience with Apache Airflow or similar orchestration tools to manage workflows.
- 1–2 years of professional experience as a Data Engineer (or related role).
- Proven experience building and running production pipelines at terabyte scale.
- Proficiency with Python and SQL for data engineering.
- Strong knowledge of AWS cloud services and big data best practices.
- Bonus: Airflow, Spark, or other orchestration/processing frameworks.
- A self-starter who thrives in a fast-moving startup environment.
- Work on real, production-scale data problems from day one.
- Be part of a fast-growing AI startup with global reach.
- Collaborate with a world-class team across AI, data, and product.
We are building AIDE, the world's smartest AI web widget and Chat Platform that powers multi-agent copilots for businesses across industries. Our platform ingests, processes, and analyzes massive datasets across multiple sources to deliver real-time, intelligent insights.
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