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Big Data Engineer
2 weeks ago
Key Responsibilities:
- Develop, implement, and maintain complex data pipelines that ensure high availability, scalability, and reliability.
- Own end-to-end ETL/ELT processes, focusing on performance, cost efficiency, and optimal resource utilization.
- Collaborate closely with AI/ML teams to support model training, retrieval-augmented generation (RAG), and analytics pipelines.
- Work with AWS services (S3, EC2, RDS, DynamoDB, Athena, Redshift, etc.) to power large-scale data workflows.
Requirements:
- At least 1-2 years of experience in data engineering or a related field.
- Proven track record of building and running production pipelines at terabyte scale.
- Proficiency in Python and SQL for data engineering.
- Strong understanding of AWS cloud services and big data best practices.