Pessoa Especialista em Engenharia de Dados
- Salary not listed
- Remote-friendly · fits your timezone
- Posted today · via Himalayas
Build scalable data pipelines for Data Lake, Warehouse and Lakehouse environments
Construct and evolve data architecture ensuring scalability, quality and governance in complex Data Lake, Data Warehouse and Lakehouse environments. Develop and maintain robust architectures, implement and optimize ETL/ELT processes, and define technical standards for efficient data platform use. Collaborate with multidisciplinary teams to align data solutions with organizational strategy.
Why This Role?
Explore new technologies and career opportunities through the Internal Selection Process (PSI)
Key Responsibilities
- Build data ingestion, transformation and integration pipelines in scalable environments
- Develop and maintain robust architectures for Data Lake, Data Warehouse and Lakehouse
- Ensure data quality, governance and security across all lifecycle phases
- Implement and optimize ETL/ELT processes focused on performance and reliability
- Define technical standards and best practices for efficient data platform use
- Collaborate with multidisciplinary teams to align data solutions with organizational strategy
Requirements
- Advanced SQL for large volume data manipulation and analysis
- Solid experience in Python or Scala for data engineering
- Proven experience with Spark for distributed processing
- Deep knowledge of Data Lake, Data Warehouse and Lakehouse architecture and implementation
- Practical experience with ETL/ELT tools in cloud environments
- Advanced experience in organizational-scale data modeling and governance
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from HimalayasShow more
Original description from Himalayas
Na Zup, acreditamos que o futuro é construído por pessoas que desafiam o presente. Na Zup , acreditamos que o futuro é construído por pessoas que desafiam o presente. Nosso propósito é criar tecnologias que transformam o mercado e elevam a experiência dos nossos clientes. Valorizamos o crescimento contínuo dos Zup pers, incentivando cada pessoa a trilhar caminhos que impulsionem sua evolução profissional. Por meio do Processo Seletivo Interno (PSI), você pode explorar novas tecnologias, projetos e oportunidades de carreira, em um processo transparente, acessível e alinhado aos seus objetivos. Buscamos um(a) profissional para atuar na construção e evolução de nossa arquitetura de dados, garantindo a escalabilidade, qualidade e governança em ambientes complexos de Data Lake, Data Warehouse e Lakehouse. Como Especialista, você será peça-chave na definição de padrões técnicos, otimização de processos e na colaboração estratégica com times multidisciplinares para potencializar o uso de dados na organização. O que você fará por aqui Construir pipelines de ingestão, transformação e integração de dados em ambientes escaláveis. Desenvolver e manter arquiteturas robustas para Data Lake, Data Warehouse e Lakehouse. Garantir a qualidade, governança e segurança dos dados em todas as fases do ciclo de vida. Implementar e otimizar processos de ETL/ELT com foco em performance e confiabilidade. Definir padrões técnicos e melhores práticas para o uso eficiente das plataformas de dados. Atuar na integração de múltiplas fontes e destinos de dados, promovendo interoperabilidade. Colaborar com times multidisciplinares para alinhar soluções de dados à estratégia da organização. O que esperamos que você saiba Domínio avançado de SQL para manipulação e análise de grandes volumes de dados. Sólida experiência em Python ou Scala aplicada à engenharia de dados. Experiência comprovada com Spark em processamento distribuído. Conhecimento profundo em arquitetura e implementação de Data Lake, Data Warehouse e Lakehouse. Vivência prática com ferramentas de ETL/ELT em ambientes cloud. Experiência avançada em modelagem e governança de dados em escala organizacional. Conhecimento e vivência em plataformas cloud como Azure, AWS ou Google Cloud. O que acontece após minha aplicação na vaga interna? Confirmada sua candidatura e analisado que seu perfil faz sentido para a posição escolhida, comunicaremos via e-mail a liderança e BP imediatos sobre sua aplicação em seleção interna. Quer entender mais sobre os detalhes, acesse a página de Vagas Internas na Zup net. Originally posted on Himalayas
Salary Context
Similar Data & Analytics roles on LokerDollar pay around $115k/yr (range $9.7k–1000k/yr, n=187 active listings).
Hiring at Zup
Zup has 2 other active roles on LokerDollar and has been hiring here since Oct 16, 2026 — across Data & Analytics, Engineering.
View all Zup openings →Market context
- UNKNOWNThis listing states no pay. Role median is $115,000/year (n=187 pay-disclosing listings).
- VERIFIEDZup: 3 postings in the last 3 months, 3 all-time on LokerDollar.
- VERIFIEDCompany first seen Oct 16, 2026.
- VERIFIEDThis listing first seen Oct 16, 2026.
- VERIFIEDLast verified live Oct 16, 2026.
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Frequently asked questions
- Is Pessoa Especialista em Engenharia de Dados at Zup a remote job?
- Yes. Pessoa Especialista em Engenharia de Dados at Zup is a fully remote role open to candidates worldwide.
- What type of employment is Pessoa Especialista em Engenharia de Dados at Zup?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Zup.
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