
Data Analytics Specialist
3 days ago
Are you a skilled developer looking to build automated data pipelines using Google Cloud Platform, implement analytical algorithms, develop scalable and efficient REST APIs, and work with SQL databases and Neo4j graph databases?
About the RoleThis is a key position in our organization responsible for delivering high-quality software solutions that drive business insights.
Key Responsibilities- Design and implement automated data pipelines using Google Cloud Platform.
- Develop and optimize analytical algorithms to drive business decisions.
- Build scalable and efficient REST APIs using Python.
- Design and implement databases using SQL and Neo4j.
- Create LLM-driven analytics engines to enhance business decision-making.
- At least 1-3 years of experience in Python development.
- Proficiency with data processing libraries such as Pandas and NumPy.
- Experience with API development using FastAPI, Flask, or Django REST.
- Familiarity with Google Cloud Platform, including BigQuery, Cloud Storage, and Vertex AI.
- Strong knowledge of SQL and database design principles.
- Git version control experience.
- Opportunity to work on cutting-edge technologies and projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
- Languages: Python, SQL.
- Cloud: Google Cloud Platform.
- Databases: PostgreSQL/MySQL, Neo4j, BigQuery.
- Tools: Git, Docker.
A bachelor's degree in Computer Science, Engineering, or a related field, strong problem-solving skills, and ability to work in a fast-paced startup environment are required for this role.
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