• Optimize our existing Snowflake architecture, establishing strict environmental isolation and scalable structures that prepare our data for eventual downstream commercialization and product offerings. • Leverage tools like Snowflake Cortex, Cursor, and UiPath to automate workflows, build semantic models, and deploy agents that accelerate time-to-value. • Implement and manage robust data quality and observability frameworks to ensure pipeline reliability and proactive issue resolution. • Design and maintain MLOps pipelines to support the seamless rollout, monitoring, and lifecycle management of ML models directly within Snowflake. • Partner closely with your peers under the Data Engineering Manager to share responsibilities across pipeline management, MLOps, and architecture, avoiding siloed knowledge and ensuring comprehensive team coverage. • Synthesize disparate operational entities into a unified, enterprise-wide semantic model that supports both internal analytics and future data monetization efforts.

• Architect for the Future: Optimize our existing Snowflake architecture, establishing strict environmental isolation and scalable structures that prepare our data for eventual downstream commercialization and product offerings. • Drive Agentic Engineering: Leverage tools like Snowflake Cortex, Cursor, and UiPath to automate workflows, build semantic models, and deploy agents that accelerate time-to-value. • Establish Data Observability: Implement and manage robust data quality and observability frameworks to ensure pipeline reliability and proactive issue resolution. • Operationalize Machine Learning: Design and maintain MLOps pipelines to support the seamless rollout, monitoring, and lifecycle management of ML models directly within Snowflake. • Execute Shared Ownership: Partner closely with your peers under the Data Engineering Manager to share responsibilities across pipeline management, MLOps, and architecture, avoiding siloed knowledge and ensuring comprehensive team coverage. • Model for Enterprise Utility: Synthesize disparate operational entities into a unified, enterprise-wide semantic model that supports both internal analytics and future data monetization efforts.

• Desenvolvimento de Pipelines: Projetar, construir e manter fluxos de dados (ETL/ELT) utilizando Pentaho (PDI) para sistemas legados e AWS Glue/Airflow para arquiteturas modernas em nuvem. • Orquestração e Automação: Gerenciar a execução de jobs e rotinas operacionais via Rundeck e Airflow, garantindo a observabilidade do dado. • Modelagem de Dados: Escrever queries complexas em SQL para transformar dados brutos de diferentes processadoras em visões analíticas para o negócio. • Codificação e Versionamento: Utilizar Python para automações e transformações customizadas, mantendo todo o ciclo de vida do código via Git. • Integração Multiprocessadora: Lidar com a ingestão de dados provenientes de diversos parceiros (RPE, Dock, etc.), padronizando informações de diferentes fontes.

Role Description We’re looking for specialized contributors to help build a high-quality dataset of complex, instruction-following prompts for video composition AI systems. This project supports the development of next-generation AI by simulating real-world enterprise user requests across industries and use cases. What You’ll Do - Create Copilot-style prompts based on defined personas and enterprise scenarios - Work on tasks such as document summaries, video highlights, and business use cases - Review short narratives and select relevant visuals from a pre-approved library, then generate prompts Requirements - Prior corporate/professional experience preferred - Must complete behavioral pre-screening and KYC verification - High-quality, instruction-following output required Benefits - Contribute to cutting-edge AI systems used for video understanding and generation - Work on meaningful, real-world enterprise scenarios - Flexible, task-based participation - Fully remote and asynchronous work Payment Details - Project-based opportunity - Paid per completed prompt - Compensation depends on task complexity and approval quality - Only approved outputs will be eligible for payment How to Get Started - Apply to the project. - If selected, you will receive an email from CrowdGen to create your account. - Log in, reset your password, and complete the onboarding requirements. - Review the project guidelines and recording requirements. - Begin participating and submitting qualifying recordings. Company Description This role is a project-based opportunity with CrowdGen, where you will participate as an Independent Contractor. If selected, you will receive instructions to create your account, complete onboarding, and begin the qualification process.