Blip Global
SeniorAnalyticsEngineer-ProdOps
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analytics Engineer - ProdOps at Blip Global. Skills: SQL, Python, Data Modeling, Data Pipelines, dbt, Cloud Data Platforms, Data Governance, Self-service Analytics. Develop, maintain, and optimize robust data ingestion and transformation pipelines (batch and streaming) at large scale.. Create end-to-end data products such as dashboards, automated alerts, internal tools, and self-service structures for Product and Ops.”
What You'll Achieve.
Transform data into scalable and actionable products.; Structure a reliable, intelligent, and team-autonomy-oriented data ecosystem.; Generate impact for Product, Ops, and leadership.; Ensure data quality, traceability, and consistency.; Promote continuous improvements in architecture and performance.; Enable teams to consume reliable insights autonomously.
What They're Looking For.
Must Have
Advanced SQL, Advanced Python, Data Warehouse/Lakehouse experience, dbt experience, API ingestion and integration experience, Data visualization tools experience, Cloud architectures experience, Distributed processing and big data technologies experience, Observability, automated testing, CI/CD, and software engineering best practices experience, Ability to fluidly transition between technical and business contexts, Clear, didactic, and influence-oriented communication, Advanced English for reading and writing
Nice to Have
Previous experience in Product Ops, BizOps, or related areas, NoSQL databases knowledge, Experience using AI tools for solution building and productivity gains, Experience in environments focused on digital products and data-driven decision-making
What You'll Do.
and optimize robust data ingestion and transformation pipelines (batch and streaming) at large scale.
Create end-to-end data products such as dashboards
and self-service structures for Product and Ops.
Integrate data from different platforms and tools (Azure
and various APIs) to create a unified and strategic view of operations.
and governed data models
ensuring data quality
Lead initiatives for refactoring and organizing legacy environments
promoting continuous improvements in architecture and performance.
Implement analytical engineering best practices
Automate operational and governance workflows using integrations
and data-oriented solutions.
Work in partnership with Product
and leadership stakeholders to translate strategic needs into scalable solutions.
Act as a technical reference for decisions related to the architecture and evolution of the data ecosystem.
Foster a data-driven culture
enabling teams to consume reliable insights autonomously.
How You'll Work.
Team & Collaboration
Work in a highly collaborative context.; Navigate between technical and business stakeholders.; Partner with Product, Engineering, Operations, and leadership stakeholders.
Communication Scope
Clear communication; Didactic communication; Influence-oriented communication; Advanced English for reading and writing
Full Job Description
Descrição da vaga Na Blip, dados são parte central da estratégia de produto, operação e crescimento. Estamos buscando uma pessoa Analytics Engineer Sênior com forte visão de negócio, autonomia e excelente articulação técnica para transformar dados em produtos escaláveis e acionáveis. Mais do que construir pipelines, buscamos alguém capaz de estruturar um ecossistema de dados confiável, inteligente e orientado à autonomia dos times. Essa posição será responsável por conectar diferentes fontes de informação — quantitativas e qualitativas — e transformá-las em soluções que gerem impacto direto para Product, Ops e lideranç a. Você atuará em um contexto altamente colaborativo, navegando entre stakeholders técnicos e de negócio, sustentando uma mentalidade de Data as a Product, com foco em automação, governança, self-service analytics e geração de valor contínuo. Responsabilidades e atribuições Desenvolver, sustentar e otimizar pipelines robustos de ingestão e transformação de dados em larga escala, tanto batch quanto streaming. Criar produtos de dados ponta a ponta, como dashboards, alertas automatizados, ferramentas internas e estruturas self-service para Product e Ops. Integrar dados provenientes de diferentes plataformas e ferramentas, como Azure, GitHub, Mixpanel, ADP, Notion, Google Sheets e APIs diversas, criando uma visão unificada e estratégica da operaçã o. Estruturar modelos de dados confiáveis, escaláveis e governados, garantindo qualidade, rastreabilidade e consistência das informações. Liderar iniciativas de refatoração e organização de ambientes legados, promovendo melhorias contínuas de arquitetura e performance. Implementar boas práticas de engenharia analítica, incluindo versionamento, testes automatizados, observabilidade e monitoramento. Automatizar workflows operacionais e de governança utilizando integrações, APIs, alertas e soluções orientadas a dados. Trabalhar em parceria com stakeholders de Produto, Engenharia, Operações e liderança para traduzir
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