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1 day ago
We're building a cutting-edge AI platform that powers multi-agent copilots for businesses.
The RoleAs a seasoned Data Engineer with expertise in AWS, you'll design, build, and maintain large-scale data pipelines handling terabytes of structured and unstructured data. Your primary focus will be on ensuring reliability, scalability, and high availability through end-to-end ETL/ELT processes.
- Create production-level data pipelines that can efficiently handle massive datasets.
- Collaborate closely with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines.
- Develop strong working relationships with cross-functional teams to optimize data workflows for performance and cost efficiency.
You'll be working with various AWS services such as S3, EC2, RDS, DynamoDB, Athena, and Redshift to power large-scale data workflows. Proficiency in Python and SQL is required for this role.
Requirements- 1–2 years of professional experience as a Data Engineer or related role.
- Proven experience in building and running production pipelines at scale.
- Strong knowledge of AWS cloud services and big data best practices.
This role requires someone who is passionate about data engineering and has the ability to think critically. If you're looking for a challenging opportunity to grow your skills and contribute to a dynamic team, apply now.
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