
Data Architect Wanted
6 days ago
Data Architect Wanted: High-Level Data Engineer with PySpark and Azure Data Factory Expertise
About the RoleWe are seeking an experienced Data Engineer to lead our data architecture initiatives. The ideal candidate will have a strong understanding of data processing, transformation, and integration, as well as expertise in designing and developing scalable data pipelines using PySpark and Azure Data Factory.
Main Responsibilities:
- Develop and maintain large-scale data pipelines using PySpark and Azure Data Factory
- Collaborate with cross-functional teams to design and implement data solutions that meet business requirements
- Optimize data workflows for performance, scalability, and cost efficiency
- Ensure high availability and reliability of data pipelines
- Implement best practices for data governance, security, and compliance
Key Qualifications:
- Technical Expertise:
- Strong knowledge of PySpark for data processing and transformation
- Proficiency in Azure Data Factory for building and managing ETL/ELT workflows
- Familiarity with data storage solutions (e.g., Azure Data Lake, SQL databases)
- Problem-Solving: Excellent analytical and problem-solving skills to handle complex data challenges
- Communication: Strong verbal and written communication skills to collaborate effectively with cross-functional teams
Preferred Skills:
- Understanding of cloud services in Azure (e.g., Azure Synapse, Logic Apps)
- Familiarity with Agile methodologies and CI/CD pipelines
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