
Senior Data Pipeline Developer
6 days ago
The company seeks a skilled software engineer to build automated data pipelines using Google Cloud Platform, implement analytical algorithms, and develop REST APIs.
Key Responsibilities:
- Design and develop scalable data pipelines using Google Cloud Platform
- Implement complex analytical algorithms to drive business insights
- Develop high-quality REST APIs to interact with databases and other systems
- Work with SQL databases and Neo4j graph databases to store and retrieve data efficiently
- Create LLM-driven analytics engines to provide real-time insights
Required Skills:
- Proficiency in Python programming language
- Experience with data processing libraries (Pandas, NumPy)
- API development skills using FastAPI, Flask, or Django REST
- Familiarity with Google Cloud Platform, especially BigQuery, Cloud Storage, and Vertex AI
- SQL and database design knowledge
- Git version control expertise
Preferred Qualifications:
- LLM integration experience using OpenAI API or Vertex AI
- Graph database experience using Neo4j
- Data visualization skills
- 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 fast-paced startup environment
Additional Information:
- The ideal candidate will have 1-3 years of experience in the field.
- Professional certifications are an asset but not required.
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