Sr. Data Engineer

Resilient; Brasil; Presencial; BRL 180 000 - 300 000; Tempo integral

Resumo da oferta

A Resilient procura um(a) Engenheiro(a) de Dados Sênior para projetar, construir e manter os sistemas centrais da nossa plataforma de dados, permitindo decisões rápidas orientadas por dados.

Você criará pipelines escaláveis, ferramentas de self-service e governança, trabalhando com parceiros de negócio e a equipe de Data Platform, apoiando analytics avançado e ML, com foco em confiabilidade operacional e mentoria de equipe.

Qualificações

• Experiência de 5 a 7+ anos em engenharia de dados.
• Proficiência avançada em SQL e Python.
• Experiência em projetar modelos de dados distribuídos e pipelines escaláveis.

Responsabilidades

• Desenhar e construir pipelines de dados escaláveis para ingestão, transformação e curadoria de dados de APIs, bases de dados, arquivos e streams.
• Conduzir revisões técnicas e traduzir necessidades de negócio em soluções de dados corporativas.
• Desenvolver modelos de dados avançados (dimensional, data vault, domain-driven) para analytics e datasets productizados.
• Promover práticas de SDLC, entrega contínua e automação de infraestrutura com CI/CD e IaC.
• Otimizar workloads distribuídos usando SQL e Python; orientar a equipe em padrões de design escaláveis.
• Construir frameworks e bibliotecas de dados reutilizáveis para acelerar produtividade.
• Analisar causas raízes de incidentes de dados e liderar remediações para melhorar a confiabilidade operacional.
• Fornecer mentoria técnica, revisar código e apoiar o amadurecimento da engenharia.
• Colaborar com Arquitetos, Líderes de Dados, Product Owners e equipes para definir estratégias de dados de longo prazo.
• Executar outras atribuições conforme necessário.

Conhecimentos

SQL avançado

Python

engenharia de dados distribuída

modelagem de dados

DevOps/DataOps

CI/CD

versionamento/controle de código

data pipelines

Ferramentas

Databricks

Delta Lake

Spark

Unity Catalog

Jobs/Workflows

Descrição da oferta de emprego

Sr. Data Engineer

Empresa : Resilient Tipo de Emprego : Periodo Integral Brazil

Descrição do Emprego - Sr. Data Engineer

Summary

As a Senior Data Engineer, you will design, build, and support the core systems that power our data platform to enable fast, data-driven decisions. You will create scalable data pipelines, self-service tools, and governance solutions that ensure trusted, accessible data across the organization. Working closely with business partners and the Data Platform team, you will support advanced analytics and machine learning use cases while sharing knowledge to elevate the team. This role emphasizes scalable pipeline development, distributed data processing, strong data modeling, and engineering best practices. Success requires curiosity, experimentation, and a commitment to operational reliability and team mentorship.

Responsibilities

• Design and build scalable data pipelines to ingest, transform, and curate data from APIs, databases, files, and event streams.


• Lead technical design reviews and translate complex business needs into enterprise-grade data solutions.


• Develop and optimize advanced data models (dimensional, data vault, domain-driven, canonical) to support analytics, BI, and productized datasets.


• Champion SDLC best practices, continuous delivery, and infrastructure automation using CI/CD and Infrastructure as Code.


• Optimize complex distributed workloads using SQL, Python; mentor others on tuning and scalable design patterns.


• Build reusable data frameworks, libraries, and reference architectures to accelerate team productivity and platform adoption.


• Perform root-cause analysis for major data incidents, lead long-term remediation, and drive operational reliability improvements.


• Provide technical mentorship, guide code reviews, and help shape engineering capability maturity.


• Collaborate with Architects, Data Leads, Product Owners, and cross-functional engineering teams to define long-term data strategies.


• Perform other duties as assigned.

Requirements

• 5 to 7+ years of experience in data engineering or a related technical field.


• Expertise in SQL and advanced proficiency in at least one programming language, Python preferred.


• Strong experience designing and tuning distributed data processing systems at scale.


• Proven experience designing and implementing complex data models across multiple business domains.


• Strong knowledge of version control, CI/CD, DevOps/DataOps, automated testing, and engineering best practices.


• Ability to lead cross-functional engineering initiatives and influence technical roadmaps.


• Strong problem-solving, debugging, and analytical skills in complex, multi-system environments.


• Extensive hands-on experience building scalable pipelines and workflows in Databricks (Delta Lake, Spark, Unity Catalog, Jobs, Workflows).

Nice to Have

• DataOps experience (pipeline observability, monitoring, automated quality).


• Knowledge of metadata management or cataloging platforms (Purview, Collibra, Alation).


• Experience with streaming frameworks used with Spark Structured Streaming (Kafka, Event Hubs, Kinesis).


• Experience working in an Agile environment.

Engagement & Logistics

• Engagement Length: 12 months or more


• Time Zone: CST (9am - 5pm)


• Laptop: BYOD.


• Overtime Required: Very unlikely. In the unlikely event that they ask for some "on call" hours during the week the OT rate is 1.5x the regular rate

Selection process

• Meeting with Resilient Co. team.


• Client technical interview


• Project interview (Cultural fit and tech review)


• Final stage

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.