
Cloud-Based Data Engineer
23 hours ago
Cloud-Based Data Engineer Job Description:
We are seeking a highly skilled Data Engineer to join our company. The ideal candidate will have a good understanding of cloud-based solutions, data integration, and data cleanup.
The successful candidate will 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 technologies like PySpark and Databricks, and ensure the scalability and reliability of data processing workflows.
Key Responsibilities:
- 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 technologies like PySpark and Databricks.
- Ensure the scalability and reliability of data processing workflows.
- 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.
- Utilize strong communication skills to convey complex technical concepts to non-technical stakeholders.
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 enhancing 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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