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6 days ago
A software engineer is needed to develop automated data pipelines and implement analytical algorithms. The ideal candidate will have experience with Python, SQL databases, and cloud platforms.
Key Responsibilities:- Automated Data Pipelines: Build efficient data pipelines using Google Cloud Platform.
- Algorithm Development: Implement analytical algorithms to drive business insights.
- API Design: Design REST APIs for seamless data exchange.
- Database Management: Work with SQL databases and graph databases to store and retrieve data efficiently.
- Analytics Engine Development: Develop LLM-driven analytics engines to provide actionable insights.
- Python Experience: 1-3 years of experience in Python development.
- Data Processing Libraries: Proficiency with Pandas, NumPy, and other data processing libraries.
- Cloud Familiarity: Familiarity with Google Cloud Platform (BigQuery, Cloud Storage, Vertex AI).
- SQL Knowledge: In-depth knowledge of SQL and database design principles.
- Version Control: Expertise in Git version control.
- LLM Integration: Experience with integrating Large Language Models (LLMs) like OpenAI API and Vertex AI.
- Graph Database Expertise: Experience working with graph databases like Neo4j.
- Data Visualization: Skilled in using data visualization tools to communicate insights effectively.
- Machine Learning Concepts: Strong understanding of machine learning concepts and time series analysis.
- Languages: Python and SQL.
- Cloud Platforms: Google Cloud Platform or AWS.
- Databases: PostgreSQL/MySQL, Neo4j, and BigQuery.
- Tools: Git, Docker, and PowerBI.
- Educational Background: Bachelor's degree in Computer Science or a related field.
- Problem-Solving Skills: Excellent problem-solving skills with the ability to work independently.
- Work Environment: Ability to thrive in a fast-paced startup environment.
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