
Cloud-Based Data Analyst
3 days ago
Highly motivated and skilled data analysts are sought after by employers in the field of cloud-based solutions.
Proficient in Python, PySpark, Databricks, Azure, and Google Cloud platforms, they design and implement cloud-based solutions to automate data pipelines and ensure efficient data flow and processing.
Developing and managing data pipelines using technologies like PySpark and Databricks is a key responsibility for these professionals.
The role also involves ensuring the scalability and reliability of data processing workflows.
Additionally, working with Large Language Models (LLMs) such as GPT and OpenAI models enhances applications with natural language processing (NLP) capabilities.
Designing and implementing prompt engineering strategies optimizes model performance in business applications.
Trained to train, fine-tune, and deploy AI models, analyzing their performance based on real-world results is an essential task.
Optimizing models using feedback mechanisms improves efficiency.
Effective communication skills enable conveying complex technical concepts to non-technical stakeholders.
Key qualifications include:
- 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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