
Data Scientist
2 weeks ago
As a key member of our organization, the Data Engineer will play a pivotal role in driving data engineering excellence and innovation. This position requires a high degree of technical expertise, problem-solving skills, and collaboration with cross-functional teams.
Key Responsibilities- Data Engineering Lifecycle: End-to-end support for data projects from acquire, organize, analyze to deliver.
- Architecture Design: Define and innovate architecture for new data products and features.
- Project Management: Oversee projects from conception to finished product with hands-on work on core data platforms and tools.
- Requirements Analysis: Translate functional specifications into technical specifications.
- Technological Expertise: Proficiency in Python, Pyspark, SQL, ML libraries, Azure services, CI/CD principles, API/web service security, and data security practices.
- Collaboration and Communication: Excellent oral and written communication skills with the ability to work individually and in teams.
- Programming Languages: Python, Pyspark, SQL, ML libraries
- Cloud Platforms: Azure, Azure Databricks, Azure DataFactory, Azure Devops
- Development Practices: CI/CD principles
- Security Best Practices: API/web service security, data security practices
- Databases: Relational databases (SQL Server, Oracle, MySQL)
We are committed to fostering a culture of innovation, collaboration, and growth. Our team members enjoy a dynamic work environment, opportunities for professional development, and a competitive compensation package.
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Data Scientist
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Principal Data Scientist
2 weeks ago
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Innovative Data Scientist
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