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Cloud Data Engineer
3 weeks ago
Job Description
">Design and implement scalable data solutions using cloud platforms like Azure and Google Cloud.
Automate data pipelines to facilitate efficient data flow and processing.
Develop and manage data pipelines using technologies like PySpark and Databricks.
Ensure the reliability and scalability of data processing workflows.
Required Skills and Qualifications
">Proficiency in Python, Pyspark, Databricks, and cloud platforms like Azure and Google Cloud.
Strong understanding of data integration and data cleanup for knowledge systems.
Bachelor or Master degree is required, along with +3 years of hands-on experience in designing and implementing cloud-based solutions and automating data pipelines.
Cloud certifications (Azure, Google Cloud, or similar) are a plus.
Benefits
">Candidates need to be fluent in English.
Others
">Work with Large Language Models (LLMs) such as GPT and OpenAI models to enhance applications with natural language processing (NLP) capabilities.
Design and implement prompt engineering strategies to optimize model performance in business applications.
Train, fine-tune, and deploy AI models, analyzing their performance based on real-world results.
Optimize models using feedback mechanisms to improve efficiency.
Strong communication skills are essential to convey complex technical concepts to non-technical stakeholders. We require candidates with good analytical and problem-solving skills to work effectively in a dynamic environment.
