
Highly skilled Data Engineer sought for leading-edge projects.
7 days ago
About the Role:
- We are seeking a skilled data engineer to design, develop and implement large-scale data pipelines using Google Cloud Platform technologies.
- The ideal candidate will have experience in developing analytical algorithms to drive business insights and create scalable REST APIs to support data exchange.
- You will work with various SQL databases and Neo4j graph databases to ensure efficient data storage and retrieval.
- Create LLM-driven analytics engines to enhance predictive capabilities.
Required Skills:
- 3+ years of experience in Python development with expertise in data processing libraries such as Pandas and NumPy.
- Proficiency in API development using frameworks like FastAPI, Flask or Django REST.
- Familiarity with Google Cloud Platform services including BigQuery, Cloud Storage and Vertex AI.
- Strong understanding of SQL and database design principles.
- Proficient in Git version control.
Preferred Qualifications:
- Experience in integrating Large Language Models (LLMs) using OpenAI API or Vertex AI.
- Familiarity with graph databases, specifically Neo4j.
- Experience in data visualization using tools like PowerBI.
- Understanding of machine learning concepts and time series analysis.
Technical Environment:
- Languages: Python, SQL.
- Cloud: Google Cloud Platform.
- Databases: PostgreSQL/MySQL, Neo4j, BigQuery.
- Tools: Git, Docker, PowerBI.
Benefits:
- Competitive salary and benefits package.
- Ongoing training and professional development opportunities.
- Collaborative and dynamic work environment.
How to Apply:
- Please submit your resume and a cover letter outlining your relevant experience and qualifications.
- We thank all applicants for their interest; however, only those selected for an interview will be contacted.
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