
Data Pipelines Engineer
2 weeks ago
Overview:
We are seeking a skilled Python Developer to join our team. This full-time position will involve building automated data pipelines, implementing analytical algorithms, and developing REST APIs.
Key Responsibilities:
- Design and implement automated data pipelines using Google Cloud Platform.
- Develop analytical algorithms to drive business insights.
- Build REST APIs to facilitate data exchange between systems.
- Work with SQL databases and Neo4j graph databases to store and retrieve data.
- Create LLM-driven analytics engines to enhance decision-making capabilities.
Required Skills and Qualifications:
- 1-3 years of experience in Python development.
- Proficiency in data processing libraries (Pandas, NumPy).
- Experience with API development (FastAPI, Flask, or Django REST).
- Familiarity with Google Cloud Platform (BigQuery, Cloud Storage, Vertex AI).
- Strong knowledge of SQL and database design.
- Proficiency in Git version control.
Preferred Qualifications:
- LLM integration experience (OpenAI API, Vertex AI).
- Graph database experience (Neo4j).
- Experience with data visualization tools.
- Understanding of ML concepts and time series analysis.
Technical Environment:
- Languages: Python, SQL.
- Cloud: AWS OR Google Cloud Platform.
- Databases: PostgreSQL/MySQL, Neo4j, BigQuery.
- Tools: Git, Docker, PowerBI.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Strong problem-solving skills.
- Ability to work in a fast-paced startup environment.
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