Chief Data Pipeline Architect
1 day ago
Transform Data into Insights
We're seeking a skilled Data Engineer to join our team. The ideal candidate has 1–2 years of experience in data engineering and is excited to solve tough data problems in a fast-paced environment.
The Role
- Design, build, and maintain production-level data pipelines that handle terabytes of structured and unstructured data.
- Own end-to-end ETL/ELT processes, ensuring reliability, scalability, and high availability.
- Work with cloud services (S3, EC2, RDS, DynamoDB, Athena, Redshift, etc.) to power large-scale data workflows.
- Closely collaborate with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines.
- Continuously monitor, optimize, and improve data workflows for performance and cost efficiency.
- (Nice to have) Use orchestration tools to manage workflows.
About the Job
- 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 cloud services and big data best practices.
- Bonus: Experience with orchestration frameworks.
- A self-starter who thrives in a fast-moving startup environment.
Why Join Us
- Work on real, production-scale data problems from day one.
- Be part of a fast-growing startup with global reach.
- Collaborate with a world-class team across AI, data, and product.
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