
Data Architectural Specialist
11 hours ago
Job Overview:
- End-to-End Data Project Support: Develop and implement comprehensive data solutions, encompassing data acquisition, organization, analysis, and delivery.
- Data Architecture and Design: Define and innovate data architectures to support new business initiatives and drive strategic growth.
- Data Platform Expertise: Leverage expertise in core data platforms and tools to drive efficient data management and analytics.
- Technical Specification: Translate functional specifications into technical requirements to ensure seamless project execution.
- Learning and Development: Commit to ongoing learning and skill development to stay abreast of emerging technologies and best practices.
- Collaboration and Communication: Foster effective communication and collaboration with cross-functional teams to drive business outcomes.
Requirements:
- Programming Languages: Proficiency in Python, Pyspark, SQL, and ML libraries.
- Azure Expertise: Experience with Azure services, including Databricks, DataFactory, and Devops.
- CI/CD Principles: Understanding of continuous integration and deployment principles.
- Security Practices: Knowledge of API/web service security and data security methodologies.
- Relational Databases: Familiarity with relational databases (SQL Server, Oracle, MySQL).
- Communication Skills: Excellent written and verbal communication skills.
- Problem-Solving Skills: Strong collaboration, troubleshooting, and problem-solving abilities.
Benefits:
- Opportunity to work on cutting-edge data projects.
- Collaborative team environment.
- Professional growth and development opportunities.
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