
Lead Data Architect
2 days ago
Job Description
Designing, building, and maintaining production-level data pipelines is a key responsibility. As a Data Engineer, you will own end-to-end ETL/ELT processes to ensure reliability, scalability, and high availability.
In this role, you will collaborate with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines. Continuously monitoring, optimizing, and improving data workflows for performance and cost efficiency are also critical aspects of the job.
- Designing, building, and maintaining production-level data pipelines
- Ownership of end-to-end ETL/ELT processes
- Collaboration with AI/ML teams
- Monitoring, optimizing, and improving data workflows
Required Skills and Qualifications
- 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
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