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Data Architect
2 weeks ago
Key Roles and Responsibilities
We are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining production-level data pipelines that handle large volumes of structured and unstructured data.
Responsibilities:
- Design and implement scalable data architectures using AWS services (S3, EC2, RDS, DynamoDB, Athena, Redshift, etc.)
- Develop and maintain end-to-end ETL/ELT processes to ensure reliability, scalability, and high availability
- 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
Requirements:
- 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:
- 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
About Us:
Our company is 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.