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Job Responsibilities:
The Senior Data Engineer will play a critical role in our team, focusing on designing and managing data pipelines for both machine learning and business intelligence (BI) applications. This role involves leading the development and maintenance of scalable data management systems, integrating data from various sources to drive analytics initiatives. The successful candidate will have a deep understanding of data architecture, machine learning, and BI concepts, and will be comfortable dealing with large and complex data sets.TASKS AND RESPONSIBILITIES
1. Lead the design, construction, installation, testing,
and maintenance of highly scalable data management systems for machine learning and BI applications.
2. Develop and optimize ETL processes and data pipeline architectures for data collection, ingestion, and
storage.
3. Collaborate with data scientists and BI analysts to understand their data needs, map data fields to
hypotheses, and curate, wrangle, and prepare data for use in their models.
4. Ensure the data architecture adequately supports the requirements of both the machine learning models and the BI tools.
5. Maintain data security and compliance standards while ensuring high performance and availability of the data.
6. Troubleshoot complex data-related issues and propose long-term solutions and enhancements.
7. Mentor junior data engineering team members and provide technical guidance as needed.
REQUIREMENTS
Education
1. Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. A
Master’s degree
📌 Senior Data Engineer (México)
🏢 Welocalize
📍 México