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Über
Design and implement scalable ETL pipelines using Python and AWS services. Model and manage datasets for analytics and machine learning workflows. Optimize data workflows for performance, reliability, and maintainability. The resource should possess the following skills and experience:
Strong proficiency in Python for data engineering. Hands-on experience with AWS (e.g., S3, Lambda, Glue, RDS). Solid understanding of ETL processes and data pipeline orchestration. These are nice-to-have skills to complement the required skills:
Experience with data modeling for structured and semi-structured data. Familiarity with Spark, Airflow, or similar orchestration tools. Exposure to ML workflows or LLM integration.
Knowledge of containerization (Docker, Kubernetes) and CI/CD practices
Sprachkenntnisse
- English
Hinweis für Nutzer
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