Role Description Na Qualificar TI, somos especialistas em Governança de Dados, Gerenciamento de Projetos, Transformação Digital e Outsourcing. Se você gosta de aprender, compartilhar conhecimento e construir soluções que fazem diferença, esta vaga é para você. - Elaboração, implantação e condução técnica de projetos de redes WAN, LAN e WLAN. Qualifications - Formação: Bacharelado nas áreas de Tecnologia de Informação. - Experiência consolidada com especificação e implantação de redes WAN, LAN e WLAN, comprovado em carteira ou carta/declaração de empregador anterior. Requirements - Certificações obrigatórias: - Certified Data Management Professional (CDMP) da DAMA International. - Certified Information Management Professional (CIMP) da eLearningCurve. - Pós-graduação ou MBA em Gestão da Informação, Gestão de Dados, ou Governança de TI. Benefits - Ambiente Inovador: Aqui você trabalha com um time diverso e colaborativo, que valoriza o seu conhecimento e incentiva seu crescimento. - Desenvolvimento Contínuo: Oferecemos treinamentos, certificações e programas de capacitação para você evoluir sempre. - Impacto Real: Atuamos em projetos estratégicos que transformam empresas e entregam resultados concretos. - Cultura que acolhe: Valorizamos a diversidade como parte da nossa cultura e acreditamos que a inovação nasce das diferenças.

Role Description Responsável por coletar, organizar, processar e analisar grandes volumes de dados. Ele desempenha um papel crucial na construção e manutenção de infraestruturas e arquiteturas de dados, garantindo que as informações sejam acessíveis, seguras e prontas para análise. - Desenvolver pipelines de dados para ingestão, limpeza, transformação e armazenamento de dados. - Colaborar com cientistas de dados e analistas para garantir que os dados sejam utilizados de forma eficaz na geração de insights e na tomada de decisões estratégicas. Qualifications - Diploma de bacharelado em Ciência da Computação, Engenharia de Software, Sistemas de Informação, Tecnologia da Informação ou áreas afins. - Experiência prática consolidada em projetos de dados, desenvolvendo soluções ETL, modelagem de dados, e colaborando com cientistas de dados e analistas. - Certificações obrigatórias: - Certified Data Management Professional (CDMP) da DAMA International. - Certified Information Management Professional (CIMP) da eLearningCurve. - Pós-graduação ou MBA em Gestão da Informação, Gestão de Dados, ou Governança de TI. Requirements - Não se aplica. Benefits - Ambiente Inovador: Aqui você trabalha com um time diverso e colaborativo, que valoriza o seu conhecimento e incentiva seu crescimento. - Desenvolvimento Contínuo: Oferecemos treinamentos, certificações e programas de capacitação para você evoluir sempre. - Impacto Real: Atuamos em projetos estratégicos que transformam empresas e entregam resultados concretos. - Cultura que acolhe: Valorizamos a diversidade como parte da nossa cultura e acreditamos que a inovação nasce das diferenças.

Role Description The Data Engineer is a critical member of a small, high-performing data team. This person is responsible for the full data journey — from source systems through to the semantic data layer that powers analytics across the organization. They work closely with domain-partnered analysts to ensure data is structured, reliable, and genuinely useful for the business questions it needs to answer. The right person starts from business context and works toward technical solutions — independently translating ambiguous requests into well-formed data that makes the business legible. They are as comfortable talking to a stakeholder about what a metric means as they are optimizing a Snowflake query. What you'll do - Work with stakeholders and analysts to understand how the business operates and translate that understanding into well-structured, consistent data models. - Ensure data models reflect business processes and terminology — not just technical schema. - Extend and evolve the data model in a consistent, forward-looking manner that preserves coherent patterns across the platform. - Set and uphold the standard for how data is engineered from source to core layer — the craft, the patterns, and the business logic translation; be opinionated about how things get built, not just whether they work. - Work collaboratively across the full data stack with domain-partnered analysts; the DE takes the lead source-side, analysts take the lead consumption-side, and both contribute across the full stack as needed — accountability naturally increases with proximity to your area of the stack. Qualifications - 5+ years of experience in data engineering, analytics engineering, or a closely related field. - Proven track record of building and maintaining data models that are used and trusted by analysts and business stakeholders. - Strong SQL skills; able to write, optimize, and review complex transformation logic. - Strong Python skills; able to work confidently across pipeline logic, scripting, and infrastructure-as-code in a production environment. - Hands-on experience with dbt (Core or Cloud) in a production environment. - Experience with Snowflake as a data warehouse platform. - Practical AWS data engineering experience (e.g., S3, Lambda, Glue, Step Functions, or similar). - Solid understanding of ELT patterns, data modelling concepts (including dimensional modelling), and data testing approaches. - Proficiency with core development tooling: Git, GitHub, CI/CD pipelines, linters. - Familiarity with workflow orchestration and scheduling concepts. - Experience building or contributing to semantic layers for BI tools. - Experience with Airflow or comparable orchestration tooling. - Snowflake cost management and query/compute optimization experience. - Experience with data governance frameworks and practices. - Demonstrated, practical use of AI-assisted development tools (e.g., Claude Code, GitHub Copilot) embedded into daily engineering workflow — active use, not just awareness. Non-technical Requirements - Demonstrated ability to work independently in a self-directed environment without requiring day-to-day task assignment from a Scrum Master or team lead. - Proven experience navigating ambiguous business and technical challenges, with the initiative to identify, engage, and collaborate with the appropriate stakeholders to gather, define, and refine project requirements. - Strong stakeholder management and communication skills, with the ability to translate business needs into actionable technical solutions. - Solid experience in solution architecture, data modeling, and data warehouse design, with a strong understanding of scalable and maintainable data solutions. - Ability to conceptualize, design, and implement effective solutions for complex or loosely defined business problems. - Strong technical execution skills combined with architectural thinking to support end-to-end data engineering and analytics initiatives. Our Hiring Process We utilize AI tools to enhance hiring efficiency and ensure a fair evaluation. Consequently, candidates will engage with an AI Interviewer, supervised by Human Talent Acquisition Experts who will support your entire application journey. While we encourage you to use AI for CV refinement and research, we require that all interviews and assessments be completed through your own authentic effort. The use of real-time AI assistance during interviews or to complete skills tests is strictly prohibited to ensure a fair and genuine evaluation of your capabilities. Benefits - Meaningful work & Growth: We take every opportunity to stretch ourselves and deliver an excellent client experience. - Employee as our biggest asset: We are genuinely invested in our people’s career and welfare. - Global reach & local impact: Get to work with high-growth startups and dynamic companies from the comfort of your own home. - Powering global startups: We’ve created 1,400 Filipino jobs that empower global start-ups to focus on growth.

Role Description Are you a Data Engineer with strong SAP BODS experience looking for an opportunity to work on enterprise-scale data initiatives with a global team? At Allied Global, we're seeking a talented professional who enjoys building robust ETL solutions, optimizing complex data pipelines, and collaborating with stakeholders across business and technology teams. If you're passionate about data integration, performance optimization, and solving challenging data problems, we'd love to connect with you. What You'll Be Doing - Design, develop, and maintain scalable ETL processes using SAP Data Services (SAP BODS) - Build and optimize data pipelines for: - Data transformation - Data cleansing - Data enrichment - Data migration - Develop advanced SQL queries and improve performance through tuning and optimization - Monitor and enhance data quality, reliability, and ETL performance - Troubleshoot production issues, perform root cause analysis, and support critical business operations - Collaborate with business users, analysts, and technical teams to deliver effective data solutions - Implement automation and process improvements to increase efficiency - Participate in Agile development processes, sprint planning, and solution delivery Qualifications - 4–6 years of experience as a Data Engineer, ETL Developer, or similar role - Strong hands-on experience with SAP Data Services (SAP BODS) - Advanced SQL development and query optimization skills - Experience working with Teradata - Strong understanding of: - Data Warehousing - ETL / ELT methodologies - Data Modeling - Data Mapping & Data Lineage - Enterprise Data Integration Frameworks - Experience supporting production environments and monitoring data quality Requirements - AWS Cloud experience (Nice to Have) - Python scripting and automation (Nice to Have) - Knowledge of Data Governance frameworks (Nice to Have) - Exposure to modern data platform architectures (Nice to Have) Benefits - Fully Remote Work Environment - Competitive Compensation: $3,500 USD/month - Work with International Teams - Exposure to Enterprise-Scale Data Platforms - Collaborative, Innovation-Driven Culture - Opportunity to work on impactful, large-scale data initiatives