
Senior Cloud Data Engineer
1 day ago
Optimize data processing workflows by leveraging cloud-based solutions and large language models.
- Design and implement cloud-based solutions using Azure and Google Cloud platforms.
- Automate data pipelines to facilitate efficient data flow and processing.
- Develop and manage data pipelines using PySpark and Databricks.
- Work with Large Language Models (LLMs) such as GPT and OpenAI models to enhance applications with natural language processing capabilities.
- Train, fine-tune, and deploy AI models analyzing their performance based on real-world results.
- Optimize models using feedback mechanisms to improve efficiency.
- Communicate complex technical concepts to non-technical stakeholders.
Qualifications:
- Bachelor or Master degree in a relevant field is required. Candidates should also possess +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 is crucial.
- Candidates must have proven ability in metadata management and schema mapping.
- Cloud certifications are an added advantage.
- Fluency in English is mandatory.
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