Senior Analytics Engineer at Jusbrasil

Senior

SQL

Data Modeling

Python

+5 more

Job Description

Estamos vivendo um ponto de virada: a revolução da GenAI está redefinindo o mercado, e temos nas mãos uma oportunidade rara de liderar a transformação tecnológica do sistema jurídico no Brasil. Lidamos com petabytes de dados, bilhões de documentos e desafios de escala, precisão e relevância dignos das maiores techs do mundo. Nosso time opera com alta densidade de talentos, autonomia e propósito. São centenas de pessoas incríveis espalhadas por mais de 40 cidades no Brasil e fora, unidas pela mesma missão: construir soluções que melhorem o acesso à Justiça e ampliem a confiança nas relações sociais. Aqui, valorizamos quem busca domínio profundo, age com clareza de propósito e tem energia para enfrentar grandes desafios com consistência e excelência.

Estamos construindo algo grande e queremos pessoas que queiram fazer parte dessa história, com intensidade, foco e excelência.

Jusbrasil em números: + de 1,2 bi de documentos jurídicos de interesse público + de 1PB de dados na nossa infraestrutura de tecnologia + de 30 m de usuários + de 500 colaboradores + de 80% dos advogados brasileiros cadastrados Sobre a função Buscamos uma pessoa Analytics Engineer para atuar como a ponte estratégica entre a infraestrutura de dados e a geração de insights. Você será responsável pela camada lógica e de governança, transformando os dados preparados pelo time de Platform em ativos semânticos prontos para consumo. Seu objetivo será garantir a organização, disponibilidade e processamento eficiente dos dados, permitindo que os analistas de ponta foquem em análises prescritivas de alto valor. Valorizamos o uso de Inteligência Artificial para automatizar processos operacionais e buscamos alguém que veja na tecnologia uma aliada para elevar a qualidade e a velocidade das entregas. Você trabalhará no time de Analytics Platform, colaborando de perto com Engenheiros de Dados, Analistas de Produto e Stakeholders para garantir que o dado seja o motor de decisão da companhia.

Principais responsabilidades Construir e gerir a camada semântica: Criar a camada lógica de dados, garantindo que as regras de negócio estejam centralizadas e consistentes para toda a empresa. Governança e Organização: Atuar como guardião da qualidade e padronização dos dados, organizando-os de forma que sejam facilmente acessíveis antes de chegarem aos analistas. Extração de

Requisitos: Interface direta com stakeholders para traduzir necessidades de negócio em modelos dimensionais eficientes. Automação com IA: Implementar e fomentar o uso de ferramentas de IA (como Claude) para otimizar o desenvolvimento, a documentação e o processamento de dados. Evolução Técnica: Manter e evoluir processos de orquestração, testes unitários e versionamento, aplicando as melhores práticas de engenharia ao contexto analítico. Habilidades mandatórias: SQL Avançado: Domínio para transformações complexas e otimização de queries.

Modelagem de Dados: Experiência sólida em modelagem dimensional e ambientes analíticos. Conhecimento prático em linguagens de programação (preferencialmente Python), sistemas de orquestração (como Airflow ou Dagster) e ferramentas de versionamento (Git). Experiência com Google Cloud Platform (BigQuery): Conhecimento específico em otimização de tabelas e processamento no BigQuery

Data Warehousing: Experiência em arquiteturas de Data Warehouse ou Data Lakehouse, com foco em otimização de custos e performance. Pensamento Crítico em IA: Familiaridade e abertura para o uso de IA Generativa no fluxo de trabalho.

CI/CD e Qualidade: Experiência com testes unitários e pipelines de integração contínua.

Diferenciais: Conhecimento em Experimentação: Vivência prévia com infraestrutura de Testes A/B. Visão de

Produto: Habilidade de atuar como um híbrido entre a técnica e a análise de negócio. #LI-REMOTE

Requirements

Build and manage the semantic layer
Act as a guardian of data quality and standardization
Organize data in a way that is easily accessible before it reaches analysts
Interface directly with stakeholders to translate business needs into efficient dimensional models
Implement and promote the use of AI tools to optimize data development, documentation, and processing

Skills

SQL

Data Modeling

Python

Airflow

Dagster

Git

Google Cloud Platform

BigQuery

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

Ready to Apply?

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Salary Range (AI-Estimated)*

$120,000 - $180,000

80% confidence

Posted 5 months ago

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