Data Engineer

Location

Latin America (LATAM)

Posted

51 days ago

Salary

0

Seniority

Mid Level

Job Description

Data Engineer

Della Infotech, Inc.

Role Description En Nisum estamos en búsqueda de un Ingeniero de Datos, con experiencia en el desarrollo e implementación de soluciones de integración y procesamiento de datos. Buscamos profesionales con una experiencia sólida en ingeniería de datos, capaces de diseñar, construir y optimizar pipelines de datos, integrando información desde múltiples fuentes para apoyar la toma de decisiones del negocio. La posición está orientada a profesionales con interés en tecnologías Microsoft Azure, procesos ETL y plataformas modernas de analítica de datos. Modalidad de trabajo: La posición se desarrolla en modalidad 100% remota, con alcance para profesionales residentes en Latinoamérica, colaborando con equipos multidisciplinarios en un entorno ágil e internacional. ¿Qué desafíos te esperan en este rol? - Diseñar, desarrollar y mantener procesos de integración de datos (ETL) desde diversas fuentes hacia plataformas de almacenamiento y análisis. - Construir y optimizar pipelines de procesamiento de datos asegurando calidad, disponibilidad y rendimiento. - Participar en el modelamiento y transformación de datos para satisfacer requerimientos analíticos y de negocio. - Implementar soluciones sobre plataformas Microsoft Azure para el procesamiento y almacenamiento de datos. - Colaborar con equipos multidisciplinarios en el diseño de soluciones escalables y mantenibles. - Identificar oportunidades de mejora continua en procesos de integración, automatización y gobierno de datos. - Documentar procesos técnicos y participar en revisiones de calidad y buenas prácticas de ingeniería. Qualifications - 3 años de experiencia desempeñándose como Ingeniero de Datos o en funciones similares. - 6 años de experiencia en tecnologías de información. - SQL Server. - Conocimientos en programación utilizando C, C# o Java. - Experiencia en herramientas y procesos ETL para integración de datos. - Azure Databricks. - Experiencia trabajando con integración y transformación de datos. - Formación técnica o profesional en Informática, Ingeniería o carrera afín, y/o cursos relacionados con plataformas Microsoft Azure. - Capacidad para trabajar de manera colaborativa en equipos ágiles y orientados a resultados. Requirements - Python. - PySpark. - Azure Data Lake Storage. - Azure Data Factory. - Power BI. - Tableau. Benefits - Pertenecer a una empresa internacional y multicultural que apoya la diversidad. - Formar parte de proyectos internacionales con presencia en Norteamérica, Pakistán, India y Latam. - Entorno de trabajo con amplia experiencia en trabajo remoto y distribuido, usando metodologías ágiles. - Cultura de constante aprendizaje y desarrollo en tecnologías actuales. - Ambiente agradable y colaborativo, con foco en el trabajo en equipo. - Acceso a plataformas de aprendizaje, certificaciones Google Cloud, Databricks, Tech Talks, etc. - Formar parte de diversas iniciativas y participación continua en actividades internas y externas de innovación, hackathon, tecnología, agilidad, charlas, webinars, bienestar y cultura con posibilidades no solo de participar sino de ser expositor. - Además, al residir en Chile, Perú o Colombia podrás acceder a los beneficios correspondientes a nuestro centro.

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Role Description Estamos em busca de um(a) Auxiliar de Dados (MIGRAÇÃO) comprometido(a) e proativo(a) para se juntar à nossa equipe na ADVBOX. Se você tem paixão por conectar as pessoas aos seus direitos e quer fazer parte de um time que está transformando o mercado do direito digital, essa vaga é perfeita para você! - Contato por e-mail com o cliente para realizar a migração, fazer o atendimento e sanar as dúvidas de contas BJ E CRM; - Enviar os dados tratados e higienizados para validar com cliente; - Validar os dados tratados pelo cliente e com os que já constam na conta do cliente; - Documentar e registrar os procedimentos operacionais relacionados à migração dos dados; - Garantir que os dados coletados e higienizados estejam conforme a necessidade do cliente, corretamente relacionados à origem dos dados e no padrão ADVBOX; - Entregar as bases concluídas e validadas para importar na conta do cliente. Qualifications - Estar cursando Direito, Administração, Relações Públicas ou áreas correlatas; - Estar em uma fase de aprendizado e busca por oportunidades na carreira; - Vontade de aprender e crescer dentro de um ambiente colaborativo e dinâmico; - Perfil detalhista, organizado, influente, relacional, proativo e gostar de trabalhar em equipe. Requirements - Experiência em plataforma de gestão e na área de análise de dados; - Experiência em atendimento ao cliente; - Experiência com planilhas em Excel; - Familiaridade com o setor jurídico será um diferencial; - Ter realizado estágios na sua área de atuação; - Maturidade digital: google drive, aplicativos, gmail, whatsapp. Competências - Habilidade de comunicação e escrita; - Senso de urgência (agilidade); - Inteligência emocional; - Resolução de Problemas; - Autogerenciamento; - Bom ouvinte; - Organização e atenção a detalhes. Benefits - Oportunidades de crescimento e desenvolvimento profissional; - Ambiente de trabalho colaborativo e dinâmico; - Vale alimentação padrão R$ 1.100,00; - Comodato para aquisição de equipamentos: R$ 2.400,00 anual; - Seguro de vida e telemedicina; - Auxílio saúde de até R$ 400,00/mês; - Auxílio esportes de até R$ 200,00/mês; - Auxílio Internet de até R$ 100,00/mês; - Campanhas e ações especiais (Outubro Rosa, Novembro Azul, entre outras), com apoio e benefícios adicionais.

Brazil
Job Closed

Role Description Responsável pelo desenvolvimento, implementação e manutenção de soluções de dados escaláveis, confiáveis e de alta performance. Irá projetar e construir pipelines de dados, garantindo a integração, segurança e confiabilidade de dados de diversas fontes para atender às necessidades de aplicações internas e externas, bem como para suportar análises avançadas e a tomada de decisão estratégica da empresa. - Realizar a ingestão/Integrar dados de diversas fontes (bancos de dados relacionais e NoSQL, APIs de serviço interno e externos, arquivos e outros) e garantir a qualidade e consistência dos dados. - Implementar soluções de armazenamento de dados (Data Warehouses, Data Lakes) e otimizar o desempenho de consultas e processamento de dados. - Projetar, desenvolver e manter pipelines de dados (ELT) robustos e eficientes, utilizando as melhores práticas de engenharia de dados. - Garantir que todo o processo de ELT esteja funcionando por meio de monitoramento e métricas como SLA. - Monitorar a execução do ELT hospedados na nuvem e on-premises. - Disseminação de boas práticas de Devops e Dataops no time. - Colaborar com as equipes para fornecer soluções de dados que atendam às necessidades do negócio. - Documentar processos, arquiteturas e soluções de dados. Qualifications - Experiência em alguma linguagem de programação (Python, SQL, Spark). - Experiência com ambiente Linux. - Experiência com sistemas de controle de versão como GitHub, GitLab, Bitbucket, etc. - Conhecimento em algoritmos e estrutura de dados. - Interesse pela área de engenharia de dados. - Inglês intermediário. - Conhecimento básico com processamento de dados na nuvem (AWS, GCP, Azure, Snowflake, Databricks). Requirements - Formação em TI (Sistemas de Informação, Ciência da Computação, Engenharias, e afins). - Conhecimento básico do funcionamento de Data Warehouses como Google Bigquery, Redshift e/ou Snowflake. - Certificação em plataforma de nuvem pública (AWS, Azure, GPC) a nível Foundational ou equivalente. - Experiência com aplicações de data pipelines (Airflow, Dagster, etc). - Conhecimento de frameworks de processamento distribuído (Spark, Hadoop, Dask, etc). - Conhecimento básico em dbt. Benefits - Gestão moderna, transparente e inclusiva. - Ambiente dinâmico, aberto à inovação e criatividade. - Cultura orientada a dados (Data-driven). - Autonomia e engajamento. - Atmosfera leve e descontraída com foco em desafios. - Ambiente de alto crescimento (Escalonamento acelerado). - Trabalho remoto e horários flexíveis. - Plano de carreira estruturado. - Cultura de feedback e crescimento (avaliações de onboarding de 45/90 dias e ciclos de desempenho semestrais). - Programa de Mentoria para suporte dedicado durante o onboarding. - Time experiente e colaborativo. - Projetos de alto impacto. - Metodologias ágeis e equipes multidisciplinares. - Aulas semanais gratuitas de conversação em inglês. - Programa de Certificação (suporte financeiro total e recompensas por desempenho). - Oportunidades de tutoria na Indicium Academy. - Iniciativas internas como "Tech Tracks" e "Databloggers". - Escritórios globais em Florianópolis, São Paulo, Nova York, Lisboa e Londres. - Lanches e bebidas no escritório. - Programa de pontos e recompensas. - Zenklub. - Day off de aniversário. - Happy hours semanais e noites de jogos (remotos e presenciais). - Wellhub (antigo Gympass). - Plano de Saúde Bradesco. - Cartão Flash (benefícios flexíveis - total de R$ 1.350,00). - Bônus anual (baseado em desempenho). - Programa de Indicação (R$ 250 por contratação bem-sucedida). - Licença maternidade estendida (6 meses).

Americas + 1 moreAll locations: Americas | Europe
Job Closed
SQA Services logo

Data Coordinator Assistant

SQA Services

SQA is an Equal Opportunity Employer. Employment is based on merit and qualifications, and is not influenced by race, color, religion, gender, national origin, veteran status, disability, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineer51 days ago
Full TimeRemoteTeam 201-500

Role Description We are seeking a detail-oriented Operations & Data Coordinator to support program operations, data management, and workflow coordination across multiple service lines including Inspection (INSP), Audit (AUD), and Engineering (ENG). This role will focus heavily on Google-based tools and systems management, ensuring data accuracy, process compliance, and event coordination across 25+ active programs. This is a 3 month long contract position working 40 hours a week. - Review and transfer part information from TRIX sheets into associated STEPQ events - Perform daily surveillance and validation of TRIX sheets to ensure: - Data accuracy and completeness - Timely updates and submissions - Inspector adherence to established protocols - Support data consistency efforts across 25+ programs - Assist with process improvement initiatives to reduce duplicate data entry through MICCS integration and automation opportunities - Support event and workflow management activities across Inspection, Audit, and Engineering services, including: - Creation and management of events/service requests - LTE management and tracking - Monitoring and correcting event stages: Closure/Completion, In-Progress, Escalations - Updating and assigning associated requirements and tasks Qualifications - Experience using Google Workspace tools including: - Gmail - Google Sheets - Google Docs - Google Slides - Strong attention to detail and organizational skills - Ability to manage multiple programs and priorities simultaneously - Experience with data entry, tracking systems, and workflow coordination - Comfortable working independently and following established protocols - Strong communication and follow-through skills Requirements - Experience with TRIX sheets, or similar workflow/event management systems - Familiarity with quality inspection, audit, or engineering support environments - Experience with BIM360, ACC, or Buganizer - Process improvement or systems integration experience preferred Benefits - $12.90 - $19 an hour - Actual compensation will be based on a variety of factors, including experience, skills, qualifications, and location Company Description SQA is an Equal Opportunity Employer. Employment is based on merit and qualifications, and is not influenced by race, color, religion, gender, national origin, veteran status, disability, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

United States
$13 - $19 / year
Job Closed

Data Engineer

Relay Financial Technologies

Relay Financial Technologies, founded in 2018 and headquartered in Toronto, Canada, with U.S. operations through FDIC-insured Thread Bank, builds a digital bank

Data Engineer51 days ago

Data Engineer Location: Toronto, ON Full time Hybrid Department: Engineering Data Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money—bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into lasting success. We do this by replacing financial guesswork with real visibility, transforming cash flow from a constant source of stress into a clear signal owners can use to run stronger, more resilient businesses. We’re looking for a Data Engineer to help us scale our data ecosystem as Relay enters an exciting new chapter of growth. This is a unique opportunity to be responsible for key aspects of the evolution of our data and analytics stack as the company grows. You'll have a dedicated interest in ensuring our teams have access to the right data at the right time in order for us to make the best decisions for our customers. What You'll Be Doing - Data Modeling & Transformation: Build and maintain robust dbt models in Snowflake that enable reliable, privacy-preserving analysis across Relay's core data - Platform Scalability: Ensure the technology and processes that underpin our data platform scale as Relay continues to grow - Data Infrastructure & Tooling: Build the systems that help us track core KPIs and ensure all our teams have the timely and accurate data they need to function effectively - Analytics & Business Intelligence: Partner with stakeholders to build the systems that track core KPIs and ensure every team has timely, accurate data to operate effectively - Security & Compliance: Work closely with Trust, Security, and Governance teams to keep customer data safe through best-in-class security and compliance practices What You'll Bring - You have 2+ years of Data Engineering experience - You write SQL that goes well beyond SELECT, WHERE and GROUP BY -- think complex window functions, query optimization, and schema design - You're fluent in Python and know how to write clean, maintainable, production-grade code - You have hands-on experience with our core stack: dbt for transformations, Dagster for orchestration, Snowflake as our data warehouse, and cloud infrastructure (AWS, GCP, or Azure) - You have experience with BI/data visualization tools (Looker, Metabase, Mode, etc.) and understand what it takes to support a great analytics layer - You have a track record of extracting real value from large, complex datasets -- and a genuine curiosity for what the data is telling you - You can drive work independently, collaborate well with cross-functional stakeholders, and know when to ask for input vs. just move Bonus Points: - You have an understanding of applied statistics, are able to create quantitative models, and can clearly communicate findings to a technical and non-technical audience - You have domain knowledge of Banking or SaaS analytics, and are familiar with concepts like LTV, churn, retention, etc. - You have experience with streaming or microbatch analytics (Spark Streaming, Flink, Beam, etc.) and design methodologies of persistent event stores (AWS Kinesis, GCP PubSub, Apache Kafka, Apache Pulsar, etc.) - You’ve joined a company at its early stages and have seen it through scale The Interview Process Stage 1: A 30-minute Google Meet video call with a member of the Talent team Stage 2: A 45-minute technical deep dive via Google Meet with our Engineering Manager, Data Stage 3: A 60-minute case study presented to a panel of technical stakeholders Stage 4: A 45-minute in-person interview with a member of the Leadership team Our Compensation Approach We believe Relayers should feel rewarded for the impact they have on our mission and growth. Compensation follows impact. As impact increases, compensation grows, and we do not limit compensation changes to a once-a-year review cycle. The annual salary range for this role is $120,600 - $147,400 CAD. For candidates who demonstrate full readiness for the defined scope of the role, the typical starting salary is $134,000 CAD. Offers below this point reflect candidates we believe can grow into the full scope of the role with support and development. Offers above this point reflect impact that meaningfully exceeds the role’s defined expectations or an expanded scope from day one. We encourage you to have a conversation with your recruiter and ask questions about compensation throughout the hiring process. For more information on our compensation philosophy and perks and benefits, visit our Candidate Hub. Why Relay Might Be the Perfect Fit For You - You push relentlessly for reinvention: You're always asking "how can this be better?" -- in your work, in your craft, in yourself. Comfort is a signal to push harder, not coast. You'd rather build something better than defend something familiar. - You crave autonomy: We trust our team with big challenges and the freedom to solve them. If you’re someone who takes initiative, is comfortable taking risks, and seeks input when needed, you’ll find the freedom here empowering. - You own your work: You take pride in your work, follow through on commitments, and feel a deep sense of responsibility for outcomes, not just tasks. - You build with AI, not just use it: You're actively embedding AI into how you work, pushing what's possible, and bringing your team along with you. - You care about impact, not noise: You care deeply about the substance of your work. You measure success by results, not recognition, and you let your work speak for itself. - You’re energized by complexity and ambiguity: You enjoy tackling problems that don’t come with a playbook. You’re comfortable building from scratch, iterating as you go, and collaborating to shape the best path forward. - You seek out feedback: You see directness as respect, not criticism. You actively seek input, sit with hard truths, and use feedback as fuel for improvement. - Small businesses are why we're here: Relay exists to help them thrive -- and that mission has to resonate with you. Join Us We're looking for people who are relentless, curious, and care deeply about the work. You're encouraged to apply even if your experience doesn't perfectly match the job description -- your perspective and drive matter more. We welcome diverse backgrounds and people who think critically, challenge the status quo, and want to help small businesses thrive. If you require accommodations at any stage of the hiring process, please reach out to your Talent Partner. Disclaimer: For compliance reasons, all offers of employment at Relay are conditional upon a successful background check and employment verification through Certn.

Canada
$120.6K - $147.4K / year