
Large Scale Data Engineer Position Available
22 hours ago
We are seeking a skilled Data Engineer to join our team.
The ideal candidate will have hands-on experience building production-grade pipelines at scale and be excited to solve complex data problems in a fast-paced startup environment.
This role involves designing, building, and maintaining large-scale data workflows using various AWS services, collaborating with AI/ML teams, and continuously monitoring and optimizing data pipelines for performance and cost efficiency.
Responsibilities- Design and build production-level data pipelines that handle structured and unstructured data.
- Own end-to-end ETL/ELT processes, ensuring reliability, scalability, and high availability.
- Work with AWS services (S3, EC2, RDS, DynamoDB, Athena, Redshift, etc.) to power large-scale data workflows.
- Collaborate closely 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.
- 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.
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