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Data Engineer III (AWS)

Be yourself, be your best!


Combinamos nossa experiência global em indústrias-chave e as últimas tecnologias para ajudar empresas em rápido crescimento e estabelecidas a transformar e acelerar seus modelos de negócios, desenvolver soluções digitais inovadoras, escalar capacidades tecnológicas e sustentar seu crescimento.


Conheça a área de Consultoria e Suporte!


Faça parte da nossa área de Suporte e Consultoria na e-Core! Se você tem paixão por tecnologia, desafios e resolução de problemas, essa é a área ideal para você. Aqui, você trabalhará com equipes globais e usuários finais, ajudando-os a maximizar o uso de soluções tecnológicas inovadoras. Junte-se a nós para crescer em um ambiente colaborativo e multicultural, onde o aprendizado contínuo e o trabalho em equipe são valorizados.


Faça parte do nosso time!


Junte-se a nós como Data Engineer III!

Nossos clientes contam com os melhores talentos para impulsionar seus negócios! Quando grandes empresas de diferentes setores precisam de soluções para processar, transformar e gerenciar grandes volumes de dados, nossa equipe de engenharia de dados entra em ação. Como Data Engineer III, você será fundamental no desenvolvimento e otimização de pipelines de dados eficientes e escaláveis, garantindo a confiabilidade e a qualidade das soluções analíticas. Além disso, você colaborará ativamente com diversas equipes para superar desafios complexos, transformando dados brutos em insights estratégicos para nossos clientes.


O que você fará nessa função:

- Traduzir requisitos de negócios em soluções analíticas eficientes e escaláveis.

- Desenvolver e otimizar pipelines ETL/ELT utilizando ferramentas como dbt ou implementações customizadas em Spark para transformar dados e solucionar desafios de negócios.

- Construir e manter data lakes e data warehouses na AWS, aplicando boas práticas de modelagem de dados (incluindo a interface com times de Data Science).

- Apoiar a definição de estratégias e melhores práticas em arquiteturas nativas de dados na nuvem (AWS Redshift, Athena, Glue, EMR).

- Criar integrações com APIs e sistemas externos para a ingestão eficiente de dados.

- Implementar soluções de governança e segurança de dados, com foco em conformidade (IAM, criptografia, audit logging).

- Atuar com engenharia de dados para suportar feature stores em projetos de AI/ML.

- Criar dashboards e visualizações para fornecer análises estratégicas.


Esta posição é adequada para você se você tiver:

- Sólida experiência em arquitetura de dados nativa em nuvem na AWS, especialmente com Redshift, Athena, Glue e EMR.

- Conhecimento avançado em Python (obrigatório) para o desenvolvimento de pipelines e automações.

- Experiência comprovada com processos ETL/ELT, com preferência por ferramentas modernas como dbt.

- Profundo conhecimento em modelagem de dados e melhores práticas para a construção de data lakes e data warehouses.

- Forte entendimento dos princípios de governança de dados, segurança e compliance.

- Experiência com a orquestração de pipelines de dados e integração em ambientes distribuídos.

- Fluência em inglês (nível avançado) para comunicação eficaz com stakeholders globais.

- Experiência em ambientes ágeis (Scrum, Kanban) e com trabalho colaborativo entre diversas áreas (engenharia, dados, produto).


Seria ótimo se você tiver:

- Certificações AWS relevantes (por exemplo, AWS Data Analytics Specialty, AWS Data Engineer Associate, Solutions Architect Associate).

- Experiência prática com feature store ou arquitetura de dados para projetos de Inteligência Artificial.

- Noções de AI/ML e ciência de dados para colaborar efetivamente com times de Data Science.

- Familiaridade com a implementação de testes de dados (unitários e de integração).


Onde você estará baseado:

Brasil - Remoto


Como e-Corean, você terá benefícios flexíveis no modelo da sua escolha:

Seguro de saúde, odontológico e de vida

Plano de saúde para seu pet (cobertura nacional)

Sessões periódicas de bem-estar

Gympass

Auxílio alimentação e/ou refeição

Cartão de múltiplos benefícios

15 dias de férias a cada 6 meses (30 dias por ano)

Possibilidade de trabalhar desde o exterior (90 dias por ano)

Plano de Incentivo de Curto Prazo (PLR)

Plano de Previdência Privada

Possibilidade de escolher entre 5 modelos de trabalho

Onboarding Kit Personalizado (incluindo monitor, fones de ouvido / headset, teclado & outros presentes)

Auxílio mensal para trabalho remoto (de acordo com seu modelo de trabalho)

Horário de trabalho flexível

Auxílio estacionamento nos escritórios de SP e POA

Apoio financeiro para estudos e creche


Para benefícios e vida na e-Core, clique aqui


Na e-Core, recrutamos com intencionalidade para refletir nossa cultura, valorizando a diversidade em todas as suas formas. Acreditamos que gênero, idade, etnia, raça, religião, orientação sexual e outros marcadores de identidades são ativos que enriquecem nosso time, sem barreiras para talentos brilharem. Nosso compromisso é com a Igualdade de Oportunidades, incentivando cada pessoa a ser ela mesma e crescer profissional e pessoalmente.#BeYourself #BeYourBest



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What You Should Know About Data Engineer III (AWS), e-Core

Are you ready to dive into the world of data engineering with e-Core? As a Data Engineer III, you'll be part of an innovative team that combines global expertise with cutting-edge technology to help businesses thrive. Your role will revolve around translating business needs into efficient, scalable analytical solutions, developing and optimizing ETL/ELT pipelines using tools like dbt and Spark, and building data lakes and warehouses on AWS. Trust us, you’ll be crucial in ensuring the reliability and quality of analytical solutions while collaborating with global teams to transform raw data into strategic insights. At e-Core, you'll have the opportunity to implement data governance and security solutions, support AI/ML projects, and craft insightful dashboards. If you have solid experience with AWS data architecture, advanced Python skills, and a passion for cloud technologies, this may be the perfect role for you. You'll also enjoy the flexibility of remote work from Brazil and a variety of benefits that enhance your work-life balance. Join us at e-Core, where you can unleash your potential and be part of a vibrant, multicultural team that values continuous learning and collaborative problem-solving. Let's build a better future together!

Frequently Asked Questions (FAQs) for Data Engineer III (AWS) Role at e-Core
What are the primary responsibilities of a Data Engineer III at e-Core?

As a Data Engineer III at e-Core, your primary responsibilities include developing and optimizing data pipelines, translating business requirements into analytical solutions, and building and maintaining data lakes and warehouses on AWS. You'll also collaborate with various teams to tackle complex challenges and ensure data quality, governance, and security.

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What qualifications are necessary for the Data Engineer III position at e-Core?

To qualify for the Data Engineer III position at e-Core, candidates should have solid experience in AWS data architecture, especially with tools like Redshift, Athena, Glue, and EMR. Advanced knowledge of Python and ETL/ELT processes using modern tools such as dbt is required. Additionally, a strong understanding of data governance principles and experience in agile environments is essential.

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How does the Data Engineer III role at e-Core involve collaboration with other teams?

Collaboration is key for a Data Engineer III at e-Core. In this role, you'll work closely with data scientists, product teams, and other stakeholders to ensure that data solutions meet business needs. This involves translating complex technical concepts into understandable solutions and providing support for AI/ML projects.

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What kind of projects will a Data Engineer III work on at e-Core?

A Data Engineer III at e-Core will work on various projects, including building scalable ETL/ELT pipelines, implementing data governance and security measures, and developing insights through data lakes and warehouses. You'll also have the chance to engage in AI/ML projects and create strategic dashboards to help businesses make informed decisions.

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What benefits does e-Core offer to its Data Engineer III employees?

e-Core offers a flexible benefits package for its Data Engineer III employees, including health insurance, wellness sessions, flexible work arrangements, and a unique onboarding kit. Additionally, employees benefit from opportunities for remote work, a short-term incentive plan, and professional development support.

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Common Interview Questions for Data Engineer III (AWS)
Can you explain the ETL process you have implemented in past projects?

When discussing your experience with the ETL process in past projects, be thorough. Explain the specific tools you used, such as dbt or Spark, and describe how you transformed and loaded data efficiently. It's important to highlight the challenges you faced and how you overcame them while ensuring data quality and compliance.

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How do you approach data modeling for data lakes and warehouses?

In your answer, focus on your understanding of data modeling principles and best practices. Discuss the importance of utilizing a flexible schema design for data lakes and the dimensional modeling approach for warehouses. Provide examples from your previous experience that showcase your ability to build scalable and efficient models.

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What methods do you use to ensure data quality and governance?

To ensure data quality and governance, discuss methodologies like data validation, audit logging, and compliance with industry standards. Mention any tools or frameworks you are familiar with that support these practices, and reiterate the importance of security measures such as encryption and access control.

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How do you prioritize tasks in a fast-paced, agile environment?

Explain your approach to prioritizing tasks, such as using Agile frameworks like Scrum or Kanban. Share techniques you use to maintain focus and ensure that high-impact projects are completed on time, emphasizing the importance of communication and collaboration with team members.

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Describe a time when you faced a major challenge in a data engineering project. How did you handle it?

This is an opportunity to demonstrate your problem-solving skills. Choose a specific example of a significant challenge, describe the context, and outline the steps you took to address the issue. Focus on your analytical abilities, teamwork, and any lessons learned that could inform future projects.

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What strategies do you use to optimize data processing performance?

In your response, discuss various optimization strategies you've employed, such as enhancing query performance in data warehouses, utilizing partitioning, and optimizing data formats. Provide examples of actual improvements in processing times or resource utilization that resulted from your strategies.

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How do you handle communication with global stakeholders?

Share your experiences working with global teams. Highlight your proficiency in English and discuss strategies you use to overcome language barriers, such as utilizing clear documentation, scheduling regular updates, and being responsive to requests from stakeholders across different time zones.

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What tools do you prefer for data visualization, and why?

Describe your preferences for data visualization tools such as Looker, Tableau, or Power BI, and explain why you find them effective. Discuss how you leverage visual tools to make complex datasets more accessible and understandable for stakeholders, emphasizing the importance of storytelling with data.

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How do you stay updated with the latest trends and technologies in data engineering?

Discuss the various ways you keep yourself informed about the latest trends, including attending webinars, joining relevant online communities, and engaging with professional development courses. Share specific resources or thought leaders that inspire you and help shape your knowledge in data engineering.

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Explain how you would design a solution for integrating multiple data sources.

In your answer, focus on the importance of understanding the structure and format of each data source. Discuss protocols and tools you would use, such as APIs or batch processing, and how to address potential data quality issues. Emphasize the need for scalability and performance in your solution design.

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DATE POSTED
April 9, 2025

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