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Data Pipeline Specialist
2 weeks ago
Job Summary
We are seeking a talented Data Engineer to join our team. As a Data Engineer, you will design, build, and maintain production-level data pipelines that handle large amounts of structured and unstructured data.
- Design and implement scalable data pipelines using AWS services such as S3, EC2, RDS, DynamoDB, Athena, and Redshift.
- Collaborate with cross-functional teams, including AI/ML engineers, to support model training, retrieval-augmented generation (RAG), and analytics pipelines.
- Monitor and optimize data workflows for performance and cost efficiency.
- Stay up-to-date with industry trends and best practices in data engineering.
Requirements
To be successful in this role, you will 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 in 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.
Benefits
As a member of our team, you can expect:
- A competitive salary and benefits package.
- The opportunity to work on real, production-scale data problems from day one.
- Collaboration with a world-class team across AI, data, and product.
About the Company
Our company is building a cutting-edge AI web widget and Chat Platform that powers multi-agent copilots for businesses across industries. We are looking for talented individuals who share our vision and passion for innovation.
