14 oct
|
Farmers Insurance
|
Ciudad de México
14 oct
Farmers Insurance
Ciudad de México
Farmers– where ambition meets opportunity.
Farmers is known for more than its unforgettable jingle – it’s a team with a passion for purpose and making a real difference in people’s lives. Farmers employees deliver peace of mind when it matters most. The organization’s results-driven, high-performance culture thrives on creativity, accountability and bold solutions. Here, growth isn’t just a goal – it’s a way of life for both the organization and every individual on the team. Farmers employees tackle challenges head-on, learn from every experience and measure their impact on the customers who trust them.
Join us and help power the success of Farmers. As a team member, you’ll collaborate with Farmers’ award-winning workforce, benefit from a culture of innovation and support and contribute to their mission of delivering protection and peace of mind to millions of U.S. customers.
Ready to make your mark? Discover Farmers’ vibrant culture and explore career opportunities at www.Farmers.com/careers/corporate.
Job Summary
The Life Data Platform (LDP)
& Data Enablement team is responsible for acquiring, integrating, governing, modeling, and publishing enterprise data across on-premises and cloud platforms. The team enables trusted, scalable, and business-ready data products, analytics, reporting, and operational insights for Life Insurance functions through modern cloud-based data technologies and data engineering practices.
The Data Engineer will be responsible for designing, developing, and supporting scalable data pipelines, data models, and enterprise data products that drive reporting, analytics, and operational business capabilities. This role combines hands-on data engineering with stakeholder engagement, working closely with business partners, analytics teams, technology teams, and external vendors to deliver high-quality data solutions and establish a trusted source of enterprise data.
Key Responsibilities
• Design, develop, and maintain scalable data pipeli
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