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About
Design, build, and operate data and AI platforms using GitOps principles Implement scalable ETL/ELT pipelines for AI/ML model training and inference workflows Ensure data quality, governance, and observability while collaborating with cross-functional teams
Required Qualifications
Bachelor's Degree in Computer Science, Data Engineering, Engineering, or equivalent experience 5 - 7 years of experience in data engineering or platform engineering roles Proficiency in Python and SQL, with experience in JSON, YAML, and shell scripting Experience with Git-based workflows, Infrastructure as Code, and CI/CD pipelines Familiarity with Azure and AWS workloads, and operational applications of large language models (LLMs)
Languages
- English
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