
Chief Data Architect
2 days ago
We are seeking a talented Data Engineer to join our team at Steps AI. As a key member of our data engineering team, you will play a crucial role in building and maintaining production-grade pipelines that handle terabytes of structured and unstructured data.
The ideal candidate has 1–2 years of experience in data engineering and is excited to solve tough data problems in a fast-paced startup environment.
- Design, build, and maintain production-level data pipelines that handle large datasets.
- Own end-to-end ETL/ELT processes, ensuring reliability, scalability, and high availability.
- Work with AWS services (S3, EC2, RDS, DynamoDB, Athena, Redshift) to power large-scale data workflows.
- Collaborate closely with AI/ML teams to support model training, retrieval-augmented generation, and analytics pipelines.
- Continuously monitor, optimize, and improve data workflows for performance and cost efficiency.
We are looking for a self-starter who thrives in a fast-moving startup environment and has:
- 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.
About Us:
Steps AI is building AIDE, the world's smartest AI web widget and Chat Platform that powers multi-agent copilots for businesses across industries.
Why Join StepsAI:
- 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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