
Senior Data Pipeline Specialist
2 weeks ago
Job Description
We're looking for a talented data engineer to join our team. The ideal candidate will have experience building production-level data pipelines and working with AWS services.
The role involves designing, building, and maintaining large-scale data workflows using tools such as S3, EC2, RDS, DynamoDB, Athena, Redshift, etc. You'll work closely with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines.
As a data engineer at our company, you'll be responsible for:
- Designing and implementing scalable data pipelines that handle terabytes of structured and unstructured data.
- Ensuring the reliability, scalability, and high availability of ETL/ELT processes.
- Collaborating with cross-functional teams to deliver high-quality results.
Requirements
To be successful in this role, you'll need:
- 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.
Benefits
As a member of our team, you'll enjoy:
- Working on real, production-scale data problems from day one.
- Being part of a fast-growing AI startup with global reach.
- Collaborating with a world-class team across AI, data, and product.
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