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4 days ago
A Python Developer at Kadinnova Technologies Pvt Ltd will be responsible for building automated data pipelines using Google Cloud Platform, implementing analytical algorithms, and developing REST APIs. The ideal candidate should have 1-3 years of experience with Python development, proficiency in data processing libraries (Pandas, NumPy), and experience with API development (FastAPI, Flask, or Django REST).
Key Responsibilities:- Build Automated Data Pipelines: Using Google Cloud Platform to create efficient and scalable data pipelines.
- Implement Analytical Algorithms: Developing and implementing complex analytical algorithms to extract insights from large datasets.
- Develop REST APIs: Creating robust and secure REST APIs using FastAPI, Flask, or Django REST.
- Work with SQL and Graph Databases: Proficiently working with SQL databases and Neo4j graph databases.
- Create LLM-Driven Analytics Engines: Designing and developing analytics engines driven by Large Language Models (LLMs).
- Python Development Experience: 1-3 years of experience with Python development.
- Data Processing Libraries: Proficiency in data processing libraries (Pandas, NumPy).
- API Development: Experience with API development (FastAPI, Flask, or Django REST).
- Google Cloud Platform: Familiarity with Google Cloud Platform, including BigQuery, Cloud Storage, and Vertex AI.
- SQL and Database Design: Knowledge of SQL and database design principles.
- Git Version Control: Experience with Git version control.
- LLM Integration Experience: Experience with integrating Large Language Models (LLMs) with analytics engines.
- Graph Database Experience: Experience working with Neo4j graph databases.
- Data Visualization: Experience with data visualization tools.
- ML Concepts and Time Series Analysis: Understanding of machine learning concepts and time series analysis.
- Languages: Python, SQL.
- Cloud: AWS or Google Cloud Platform.
- Databases: PostgreSQL/MySQL, Neo4j, BigQuery.
- Tools: Git, Docker, PowerBI.
- Education: Bachelor's degree in Computer Science, Engineering, or related field.
- Problem-Solving Skills: Strong problem-solving skills.
- Startup Environment: Ability to work in a fast-paced startup environment.
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