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2 days ago
This role involves developing scalable software solutions using Python. The ideal candidate will have experience with design and development of automated data pipelines, implementation of analytical algorithms, and development of REST APIs.
Key Responsibilities:- Design and Develop Automated Data Pipelines: Utilize cloud platforms to build automated data pipelines that streamline data processing and analysis.
- Implement Analytical Algorithms: Develop and implement complex analytical algorithms to extract insights from large datasets.
- Develop REST APIs: Design and develop RESTful APIs to facilitate seamless data exchange between applications.
- Work with Databases: Collaborate with SQL databases and graph databases to ensure efficient data storage and retrieval.
- Python Development Experience: 1-3 years of experience in Python development is required.
- Data Processing Libraries: Proficiency in Pandas and NumPy is essential for efficient data processing.
- API Development: Experience with API development frameworks like FastAPI, Flask, or Django REST is necessary.
- Cloud Platform Familiarity: Knowledge of Google Cloud Platform, particularly BigQuery, Cloud Storage, and Vertex AI, is highly desirable.
- SQL and Database Design: Strong understanding of SQL and database design principles is required.
- LLM Integration Experience: Experience with LLM integration, particularly with OpenAI API and Vertex AI, is highly valued.
- Graph Database Experience: Familiarity with Neo4j graph databases is desired.
- Data Visualization: Experience with data visualization tools is beneficial.
The technical environment includes languages such as Python, SQL, cloud platforms like AWS or Google Cloud, databases like PostgreSQL/MySQL and Neo4j, and tools like Git and Docker.
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