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Accountabilities:
- Design, implement, and maintain scalable, high-performance data architectures connecting relational and non-relational systems.
- Manage end-to-end data pipelines, ensuring seamless ingestion from scrapers to AI/ML workflows.
- Audit and optimize existing workflows for efficiency, accuracy, and flexibility.
Requirements:
- 5+ years of experience in data engineering, with a proven track record managing large-scale pipelines.
- Strong proficiency in Python with 5+ years of professional experience.
- Expertise with relational databases (MySQL, PostgreSQL) and NoSQL systems (MongoDB).
Preferred:
- Experience with MLOps, containerization (Docker), orchestration (Kubernetes).
- Experience with CI/CD pipelines, and data privacy/security best practices.
Jobgether
Jobgether is a pioneering HR Tech startup operating entirely remotely, and leading the revolution in the world of work. They are a job search engine designed exclusively for remote workers, with a team of 30 individuals located across the globe.