
Senior Cloud Data Specialist
4 days ago
Job Title: Data Engineer
We are seeking an experienced professional to lead the development and implementation of scalable data pipelines, data warehousing, and business intelligence solutions on Azure.
About the Role:
The ideal candidate will have a strong background in data engineering with expertise in designing and implementing large-scale data processing systems using Azure Databricks and Pyspark. They will work collaboratively with cross-functional teams to identify business requirements and design data solutions that meet those needs.
Responsibilities:
- Design, develop, and deploy large-scale data processing systems using Azure Databricks and Pyspark
- Collaborate with cross-functional teams to identify business requirements and design data solutions that meet those needs
- Develop and maintain data warehouses, data marts, and data lakes on Azure
- Implement data governance, security, and compliance measures to ensure data quality and integrity
- Troubleshoot and optimize data processing systems to improve performance and scalability
Requirements:
- 3-12 years of experience in data engineering, with a focus on cloud-based technologies
- In-depth knowledge of Azure Databricks, Pyspark, and Python scripting
- Experience with ETL methods, dimensional data models, and data warehouses
- Strong understanding of relational databases and data access methods, especially SQL
- Familiarity with Azure architecture and design principles
Benefits:
This role offers the opportunity to work with cutting-edge technologies and contribute to the development of innovative data solutions. The ideal candidate will be motivated and detail-oriented with a passion for cloud-based technologies.
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