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The data engineer will be part of the Risk Modeling Unit providing support to the Mexico Consumer Risk team. The hire will be responsible for establishing Data Control Pipelines. The hire would contribute to building foundational data principles which Risk Modeling Unit is workings towards such as Data Quality, Data Security and Privacy, Data Storage and Operations, Data Warehouse, BI, Analytics and Reporting.
Job Responsibility:
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation
Collaboration in special analytics projects related to risk models
Ensure essential procedures are followed and help define operating standards and processes for data cleaning, data preparation, data ETL and model deployment
Design of Data architecture and re-design of existing frameworks to optimize functionality
Collaborate with modeling team in the development, implementation and monitoring of risk models
Prepare data for data scientist working in model development or data analysis
Explore alternative data sources for model development
Effective interaction with other teams involved in the development and implementation of models
Remaining up-to-date with industry standards and technological advancements
Requirements:
Bachelor's degree in computer engineering, data engineering, or related field
Proven experience as a data engineer, software developer or similar role
Good programming skills with expertise in SQL, SAS, Python, and scripting
Ability to perform data analysis including writing traditional SQL queries in both Relational and NoSQL databases
Proficient in written and spoken English
Bachelor's/University degree or equivalent experience
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