The role involves creating and maintaining Automation Test Frameworks (ATF) within ServiceNow and analyzing user stories to develop test cases. Additionally, the engineer will execute tests and participate in client demonstration sessions.
Provide functional support for Murex modules including Datamart, Exchange, and Front Office. Participate in reporting, data analysis, and the resolution of incidents related to system interfaces and financial operations.
The senior solution architect will define Guidewire solution architectures and ensure alignment between business needs and IT delivery. They will provide expert guidance, evaluate technical impacts, and mentor development teams on best practices within the Guidewire ecosystem.
Design and implement secure, scalable AWS-native cloud architectures using Infrastructure as Code and automation workflows. Focus on optimizing operational excellence through observability tools and API-driven orchestration.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration solutions using BigQuery and Python. Collaborate with Analytics and BI teams to optimize SQL queries and ensure data quality and availability.
Provide operational continuity and technical support for the Oracle Billing and Revenue Management (BRM) platform during a temporary replacement period. Collaborate with the client's technical team to ensure system stability and the correct operation of BRM components.
Define and maintain cloud architecture standards while translating business needs into secure, scalable, and efficient Microsoft Azure solutions. Lead cloud migrations and actively participate in governance forums regarding technical reviews, security, and costs.
The role involves participating in a 1-month intensive Data Engineering Academy focused on Snowflake and Databricks to strengthen technical capabilities. After the academy, selected candidates will work on enterprise-level projects from the client's offices in Monterrey.
The Senior Data Scientist will collaborate with business teams to devise Data Science solutions for complex challenges, focusing on advanced analytics for manufacturing, including machine data and battery manufacturing. Responsibilities include developing, maintaining, and improving Machine Learning, Deep Learning, and Computer Vision models, and building deployment pipelines.
