
Senior Cloud Data Engineer
24 hours ago
We are seeking a skilled Cloud-Based Solutions Developer to design and implement cloud-based solutions using Azure and Google Cloud platforms.
The ideal candidate will have a good understanding of data integration, data cleanup, and cloud-based solutions.
Key responsibilities include designing and implementing prompt engineering strategies to optimize model performance in business applications, ensuring the scalability and reliability of data processing workflows, and working with Large Language Models (LLMs) such as GPT and OpenAI models to enhance applications with natural language processing (NLP) capabilities.
The candidate should also be able to train, fine-tune, and deploy AI models, analyzing their performance based on real-world results, and optimize models using feedback mechanisms to improve efficiency.
A strong profile for this position includes a Bachelor or Master degree, +3 years of hands-on experience in Python, PySpark, Databricks, and cloud platforms like Azure and Google Cloud, and experience in designing and implementing cloud-based solutions and automating data pipelines.
Fluency in English is essential.
Key Requirements:
- Bachelor or Master degree;
- +3 years of hands-on experience in Python, PySpark, Databricks, and cloud platforms like Azure and Google Cloud;
- Experience in designing and implementing cloud-based solutions and automating data pipelines;
- Experience in Working with Large Language Models (LLMs) such as GPT, OpenAI models, or enhance solutions with natural language processing (NLP) capabilities;
- Proven ability in metadata management and schema mapping;
- Cloud certifications (Azure, Google Cloud, or similar) are a plus;
- Fluent in English;
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