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Azure Cloud Data Solutions Architect
2 weeks ago
Data engineers play a pivotal role in designing, building, and maintaining complex data systems for organizations. This position requires a strong foundation in computer science and experience with big data technologies.
- Bachelor's degree in Computer Science, Information Technology, or a related field is essential; a Master's degree is highly desirable.
Azure Data Engineers will focus on creating scalable data architectures using Azure-based tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. They will collaborate closely with data scientists to develop real-time data integrations and business intelligence dashboards utilizing Power BI and other tools.
Main Responsibilities:
- Designing and implementing scalable data architectures that meet organizational needs.
- Developing and deploying data pipelines using Azure Data Factory and Azure Databricks.
- Maintaining and optimizing large-scale data processing systems for optimal performance and scalability.
- Collaborating with data scientists to design and implement real-time data integration solutions and business intelligence dashboards.
Skill Requirements:
- Proficiency in Azure Data Factory and Azure Databricks.
- Familiarity with Azure Synapse Analytics.
- Strong understanding of data architecture and data pipeline development.
- Experience with data engineering and cloud computing.
- Ability to work collaboratively as part of a cross-functional team.