• Realizar a ingestão de dados em **processos batch** para o **Data Warehouse em ambiente de nuvem (AWS);** • Desenvolver, manter e evoluir **pipelines de dados (ETL/ELT)**, garantindo validação, automação e confiabilidade das informações; • Atuar na **sustentação e monitoramento dos pipelines**, utilizando boas práticas de **DataOps/DevOps**, assegurando disponibilidade e performance; • Estruturar e otimizar camadas de dados em **Data Lake e Data Warehouse**, garantindo organização, escalabilidade e governança; • Implementar e acompanhar controles de **qualidade de dados (Data Quality)**, identificando e corrigindo inconsistências; • Trabalhar em parceria com times técnicos e de negócio para entendimento das demandas e resolução de problemas relacionados a dados; • Ser proativo na **análise de processos existentes**, apresentando propostas de melhorias contínuas, otimização de pipelines e soluções técnicas alinhadas aos desafios identificados.

Role Description Candidates MUST BE located in USA due to client's technical requirements. - Remote position - Must-Haves: Full fluency in Spanish language. Candidate must have full fluency in both English and Spanish language. - Full Time Remote position - Hours: 8am to 5pm PST Mon-Fri - MUST BE AVAILABLE PACIFIC TIME ZONE. Join Volga Partners, a dynamic U.S.-based company at the forefront of Artificial Intelligence (AI) and Machine Learning (ML), proudly partnering with leading technology giants and global multinational corporations. - Fully remote role – Work from the comfort of your home - Entry to mid-level opportunity – Gain hands-on experience in data evaluation and AI - Flexible training hours – Get the support you need to succeed - This current opening is for full time. - Work with cutting-edge technology – Contribute to improving AI and language models Responsibilities - Data Evaluation & Annotation: Label and categorize text and images, ensuring accuracy and quality - Platform Management: Work within the client’s universal language platform to manage and evaluate language-based data - Trend Analysis: Track and assess data, identifying insights to enhance project quality - Quality Assurance: Ensure accuracy by proofreading and maintaining high-quality outputs - Process Improvement: Provide insights and recommendations to improve data relevance and performance - Adaptability & Collaboration: Work in a fast-paced environment with shifting priorities while maintaining communication with your team Qualifications - Fluency in English & Spanish – Must have full professional proficiency in both written and spoken communication - Strong analytical skills – Ability to evaluate data logically and provide sound reasoning - Attention to detail – A sharp eye for spotting inconsistencies and ensuring high data accuracy - Time management skills – Ability to manage multiple tasks efficiently - Critical thinking & problem-solving – Ability to make data-driven decisions - Tech-savvy mindset – Comfortable navigating platforms and tools - Adaptability & teamwork – Willingness to collaborate and adjust to changing project needs Requirements - Work Authorization: Must have valid authorization to work in the U.S. - Background Check: Required for this role - Equipment: Must have a personal laptop or computer Benefits - 401(k) - Paid time off - Fully Remote Company Description W2 Hourly $15-$18 (includes benefits such as PTO, 401K, where applicable). Job Types: Full Time, Contract, W2 Pay: $15.00 - $18.00 per hour Language: SPANISH Required Work Location: Remote

• Lead data platform strategy and execution • Partner with the CDAO to shape overall data strategy and translate it into engineering roadmaps with clear owners, timelines, and outcomes • Own the Snowflake data lake end to end • Develop, maintain, and evolve the platform and its associated services — from ingestion to serving • Build governance that actually works • Drive cross-functional data initiatives

Role Description We are looking for a Data Architect to join our growing team. This role is ideal for professionals who are passionate about designing scalable data solutions, defining strong data structures, and partnering closely with technical and business teams to support enterprise data initiatives. You will be involved in shaping data models, guiding warehouse design, and helping ensure reliable, well-structured data flows across systems. Key Responsibilities: - Design and maintain enterprise data models, including conceptual, logical, and physical models for analytics and operational use cases. - Define and support dimensional modeling approaches for data warehouses, data marts, and related reporting structures. - Collaborate with analysts, engineers, and stakeholders to translate business requirements into scalable data architecture solutions. - Create and refine source-to-target mappings, transformation logic, and data flow documentation across multiple data layers. - Partner with development teams to validate data movement, transformation rules, and model alignment from source through warehouse layers. - Support modernization and migration efforts involving cloud-based data platforms, lakehouse architectures, and evolving enterprise data environments. - Promote data standards, architectural patterns, and best practices for quality, consistency, performance, and maintainability. Qualifications - Experience in data architecture, data modeling, and enterprise data warehouse design. - Strong knowledge of dimensional modeling concepts, including fact and dimension design and slowly changing dimensions. - Proficient in SQL and comfortable using it for data analysis, profiling, validation, and transformation review. - Familiar with source-to-target mapping, data lineage, and documenting complex data flows across multiple systems. - Exposure to cloud or modern data platforms, such as Azure-based environments, lakehouse architectures, or similar technologies. - Understanding of ETL/ELT processes, integration patterns, and working with structured and semi-structured data formats such as XML. - Experience collaborating with cross-functional teams and communicating architectural decisions clearly. - Strong problem-solving skills and the ability to adapt to existing standards, patterns, and business processes. Benefits - Fully remote – work from anywhere in the Philippines - Collaborative, high-performing engineering culture - Work on scalable, real-world systems with modern architecture