
Data Pipeline Architect
2 weeks ago
We are seeking an experienced Senior Data Systems Developer to lead the design and implementation of large-scale data pipelines.
Job Description:
The ideal candidate has a strong background in data engineering, with a minimum of 1–2 years of experience in designing, building, and maintaining production-level data pipelines that handle terabytes of structured and unstructured data.
Key Responsibilities:
- Own end-to-end ETL/ELT processes, ensuring reliability, scalability, and high availability of our data workflows.
- Work closely with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines.
- Collaborate with cross-functional teams to identify opportunities for process improvements and implement cost-effective solutions.
Requirements:
- Minimum 1–2 years of professional experience as a Senior 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 This Role:
This is an exciting opportunity to work on cutting-edge technology and contribute to the development of innovative data-driven solutions.
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