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Data Platform Engineer
3 weeks ago
Responsibilities:
- Design, develop, and maintain the data platform architecture to support large-scale data processing and analytics.
- Implement and optimize data pipelines and ETL processes using Apache Doris and Python for efficient data processing and analysis.
- Collaborate with cross-functional teams to integrate and interface various data sources and data processing tools within the platform.
- Provide technical leadership in the design and implementation of scalable data solutions in a cloud environment, particularly utilizing AWS services.
- Drive the adoption of best practices for data management, processing, and analytics within the organization.
- Troubleshoot performance issues, optimize query execution, and ensure data integrity and security.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
- 9+ years of extensive experience in designing and building data platforms and large-scale data processing systems.
- Strong proficiency in Apache Doris for real-time analytics, complex querying, and data processing.
- Expertise in Python programming for building data pipelines and analytics solutions.
- Hands-on experience with cloud platforms, particularly AWS, for building scalable and efficient data solutions.
- In-depth knowledge of ETL processes, data warehousing concepts, and data modeling.
- Excellent problem-solving skills and the ability to collaborate effectively with cross-functional teams.
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