
Senior Data Pipeline Engineer
22 hours ago
Our team is seeking a skilled Python Developer to design and implement automated data pipelines using Google Cloud Platform. The ideal candidate will have experience in developing analytical algorithms to drive business insights, creating REST APIs to facilitate data exchange, and working with SQL databases and Neo4j graph databases to store and retrieve data efficiently.
- Develop innovative solutions for data processing and analysis.
- Design and implement scalable data pipelines using GCP services.
- Collaborate with cross-functional teams to integrate data-driven insights into business decision-making.
The following skills and qualifications are required:
- 3+ years of experience in Python development.
- Proficiency in data processing libraries (Pandas, NumPy).
- Experience in API development (FastAPI, Flask, or Django REST).
- Familiarity with Google Cloud Platform (BigQuery, Cloud Storage, Vertex AI).
- Strong understanding of SQL and database design principles.
- Knowledge of Git version control.
The following qualifications are preferred:
- Experience with LLM integration (OpenAI API, Vertex AI).
- Graph database experience (Neo4j).
- Understanding of data visualization concepts.
- Knowledge of ML concepts and time series analysis.
The successful candidate will work in a fast-paced startup environment using the following tools and technologies:
- Languages: Python, SQL.
- Cloud: AWS OR Google Cloud Platform.
- Databases: PostgreSQL/MySQL, Neo4j, BigQuery.
- Tools: Git, Docker, PowerBI.
The following requirements are necessary:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Strong problem-solving skills.
- Able to work in a collaborative team environment.
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