You will operate and support data pipelines within the Google Cloud Platform ecosystem while ensuring the stability of orchestrated data flows. Additionally, you will resolve operational incidents and provide technical support to Analytics, Data Science, and Software Engineering teams.
Manage the strategic backlog of the data platform using a product-oriented mindset to reduce friction and accelerate analysis. Lead the evolution of lakehouse architecture, implement federated computational governance, and optimize platform costs through advanced FinOps practices.
The analyst will monitor credit portfolio performance, identify risks, and formulate credit policies to balance growth with loss control. They will also develop simulation models and collaborate with data and product teams to optimize decision-making engines.
Develop and evolve data products while ensuring high performance and adherence to architectural standards. Collaborate with stakeholders to translate business challenges into efficient technical solutions and maintain clear documentation.
Lead strategic analyses on price elasticity and customer behavior to maximize product profitability and revenue. Design A/B tests and business cases to optimize margins and conversion while collaborating with Product, Sales, and Operations teams.
Lead engineering teams to build resilient and scalable products while balancing the growth of new features and the maintenance of legacy systems. Collaborate with cross-functional teams to align technical roadmaps with business priorities and promote a culture of continuous learning.
Lead engineering teams to build resilient and scalable products for partner real estate agencies, balancing the launch of new products with the evolution of legacy systems. Collaborate with cross-functional teams to align technical requirements with business priorities and drive a culture of continuous learning and innovation.
Lead the Design team within the Revenue Engines front, connecting user needs with business goals and product strategy. Develop design talent and collaborate with Product and Engineering to improve the ecosystem for real estate agencies.
Lead end-to-end AI tasks and guide the engineering team's architecture to improve scalability and stability. Collaborate with product teams to translate business needs into efficient, maintainable, and creative technical solutions.
Develop internal solutions, MVPs, and automations to simplify manual processes and improve operational efficiency. Collaborate with stakeholders to translate business needs into practical technical solutions and maintain existing tools.
Architect and implement AIOps solutions to automate and monitor complex financial workflows, including payment anomaly detection and data reconciliation. Develop and maintain robust Python-based integrations and leverage AI-driven tools to build autonomous processes and business interfaces.
