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Data Pipeline Specialist
2 weeks ago
The role entails designing, developing, and maintaining high-capacity data pipelines that efficiently handle structured and unstructured data.
Responsibilities- Design and Build Complex Pipelines: You will be responsible for designing and building complex production-level data pipelines utilizing AWS services such as S3, EC2, RDS, DynamoDB, Athena, and Redshift.
- Own ETL/ELT Processes: You will be accountable for end-to-end ETL/ELT processes, ensuring reliability, scalability, and high availability.
- Collaborate with AI/ML Teams: You will work closely with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines.
- Monitor and Optimize Data Workflows: You will continuously monitor, optimize, and improve data workflows for performance and cost efficiency.
This is an opportunity to thrive in a fast-paced startup environment. The ideal candidate has 1–2 years of experience as a data engineer or related role and proficiency in Python and SQL for data engineering.
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