Pessoa Engenheira De Dados Pleno

Jobgether SRL; Brasil; Presencial; BRL 132 000 - 216 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Seguro saúde

Seguro odontológico

Vale refeição/alimentação

Flexibilidade de horário

Auxílio transporte

Resumo da oferta

Jobgether SRL busca uma Engenheira de Dados Pleno para desenvolver e evoluir um ecossistema de dados moderno que suporte decisões estratégicas. Você trabalhará na interseção entre engenharia de dados e BI, desenhando pipelines escaláveis, modelos de dados robustos e dashboards executivos.

Colaborará com equipes multifuncionais para transformar necessidades de negócio em produtos de dados confiáveis. A posição envolve dados grandes, governança e desempenho em soluções analíticas, com

Qualificações

• Experiência sólida em Engenharia de Dados e BI.
• Conhecimento avançado de SQL e manipulação de dados.
• Experiência em construção de pipelines ETL/ELT.
• Conhecimento de Terraform para infraestrutura.
• Modelagem dimensional (Star Schema/Snowflake).
• Experiência com Power BI e desenvolvimento de dashboards.
• Power Query para transformação de dados.
• Python para processamento de dados e automação.
• Git para controle de versão.
• Arquitetura de Data Warehouse e ambientes de dados em larga escala.
• Capacidade analítica e resolução de problemas de pipelines.
• Capacidade de documentar processos técnicos e funcionais.

Responsabilidades

• Desenhar e manter pipelines ETL/ELT integrando dados de múltiplos sistemas.
• Projetar modelos analíticos otimizados para BI com Power BI.
• Construir modelos de dados escaláveis usando Star Schema/Snowflake.
• Criar dashboards e KPIs para suporte à tomada de decisão.
• Investigar e resolver problemas de qualidade de dados e falhas de pipelines.
• Trabalhar com grandes conjuntos de dados visando desempenho e confiabilidade.
• Desenvolver transformações com SQL, Power Query e Python quando necessário.
• Contribuir para o semantic layer e arquitetura analítica (Azure Analysis Services quando aplicável).
• Participar da definição de padrões de arquitetura de dados e governança.
• Documentar pipelines, regras de negócio e modelos analíticos.

Conhecimentos

SQL

ETL/ELT

Terraform

Power BI

Power Query

Python

Git

Dimensional Modeling

Data Warehouse

Pipelines

Formação académica

Bacharelado concluído

Ferramentas

Terraform

Azure Analysis Services

Descrição da oferta de emprego

J

Pessoa Engenheira de Dados Pleno

Empresa : Jobgether Tipo de Emprego : Periodo Integral Brazil

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for aPessoa Engenheira de Dados Pleno based in Brazil.

This role is focused on building and evolving a modern data and analytics ecosystem that supports strategic decision-making across the business. You will work at the intersection of data engineering and business intelligence, designing scalable data pipelines, robust data models, and executive-level dashboards. The position involves handling large and complex datasets, ensuring data quality, governance, and performance across all analytics solutions. You will collaborate closely with cross-functional teams, translating business needs into reliable data products. Beyond technical execution, you will contribute to architecture decisions and best practices, helping shape the organization’s data maturity. This is a highly collaborative environment where analytical thinking, autonomy, and continuous improvement are strongly valued.

Accountabilities:

• Develop and maintain ETL/ELT pipelines integrating data from multiple systems and sources
• Design and structure analytical data models optimized for reporting and BI consumption (Power BI and related tools)
• Build scalable, high-performance data models using dimensional modeling techniques (Star Schema, Snowflake)
• Create dashboards, KPIs, and executive reporting frameworks to support business decision-making
• Investigate and resolve data quality issues, inconsistencies, and pipeline failures through root cause analysis
• Work with large datasets and optimize queries and data workflows for performance and reliability
• Develop data transformations using SQL, Power Query, and Python when needed
• Contribute to semantic layer modeling and analytics architecture (including Azure Analysis Services when applicable)
• Participate in defining data architecture standards, governance practices, and modeling guidelines
• Document data pipelines, business rules, and analytical models to ensure clarity and maintainability
• Collaborate with multidisciplinary teams in strategic analytics and BI initiatives
• Support and mentor junior professionals, sharing technical knowledge and best practices

Requirements:

• Solid experience in Data Engineering and Business Intelligence roles
• Advanced SQL knowledge and strong experience with data manipulation and querying
• Experience building and maintaining ETL/ELT pipelines
• Knowledge of infrastructure deployment using Terraform
• Strong understanding of dimensional modeling (Star Schema and Snowflake)
• Hands‑on experience with Power BI and dashboard development
• Experience with Power Query for data transformation
• Proficiency in Python for data processing and automation
• Experience with Git for version control
• Knowledge of Data Warehouse architecture and large-scale data environments
• Strong analytical and troubleshooting skills for data pipelines and systems
• Ability to document technical and functional processes clearly
• Strong communication skills and ability to work with both technical and business stakeholders
• Proactive mindset with ability to propose improvements in tools, architecture, and processes
• Bachelor’s degree completed (all fields accepted)

Benefits:

• Flexible benefits package adaptable to your lifestyle and needs
• Health and dental insurance coverage
• Life insurance
• Pet insurance assistance
• Mobility support (fuel, ride apps, transport options depending on project)
• Flexible reimbursement program (education, wellness, leisure, and more)
• Meal or food allowance
• Birthday day off
• Gympass access
• Financial advisory services and facilitated credit options
• Annual bonus program and referral commissions
• Parental leave (extended maternity and paternity benefits)
• Childcare assistance during the first yearDiscounts and partnerships with retail and pharmacy networks
• Professional development programs, mentorship, and continuous learning opportunities
• Structured career growth pathways in a global consulting environment.