24 Empregos para Big data - Paulínia

Selecione a frequência (em dias) de recebimento de alertas:

Nós acreditamos que a energia que você dedica à sua carreira merece retorno.
Por isso, reconhecemos a dedicação das nossas pessoas e estamos sempre em busca de quem deseja fazer a diferença e construir uma trajetória próspera e segura.

Na CPFL, você encontra um ambiente sólido para crescer com confiança, com segurança para evoluir e espaço para construir um futuro com propósito.

Analista de Data Analytics Local Pl – Vaga Afirmativa para Pessoas com Deficiência

Modelo de trabalho:Presencial

Empresa:CPFL Renováveis – Uma empresa do Grupo CPFL Energia.

• Formação Superior Completo em Exatas: Engenharias, Estatística, Matemática, Física, Ciência da Computação, ou áreas correlatas;
• Necessário experiência na área de ciência de dados;
• Capacidade analítica e facilidade em modelar, interpretar e apresentar resultados;
• Conhecimento em programação para análise de dados (Ex: Python, Spark);
• Desejável conhecimento em construção de consultas em bancos de dados (Ex: SQL);
• Desejável inglês avançado;
• Disponibilidade para atuação 100% presencial em Campinas/SP.

O seu dia a dia:

• Executar análise avançada de dados (advanced analytics/ data science) utilizando conceitos de big data, para gerar insights para as áreas de negócio do grupo CPFL;
• Avaliar, propor e implementar metodologias estatística, de inteligência artificial e machine learning, avaliando o contexto, prazo de entrega e dados disponíveis;
• Liderar projetos de análise de dados com outras áreas para ganhos operacionais nas diversas unidades de negócio, construindo relacionamento com outras áreas, buscando oportunidades, subsídios para compreensão do escopo de trabalho e entendimento das regras envolvidas no negócio.
• Trabalhar na aquisição e tratamento de dados de dados complexos, com foco em alta volumetria, criando códigos de extração replicáveis;
• Realizar apresentações de nivelamento e resultados para todos os públicos da CPFL, incluindo reports aos executivos do grupo e redigir relatório de análise documentando os estudos realizados.
• Acompanhar execução dos modelos em produção, geração de indicadores de desempenhos e definição do momento em que os modelos precisam de atualização;

O que oferecemos:

• Vale Refeição;
• Vale Alimentação;
• Assistência Médica;
• Assistência Odontológica;
• Licença maternidade 6 meses e paternidade 20 dias
• Auxílio creche (conforme regras de elegibilidade);
• Wellhub;
• Programa Fale Comigo (assessoria gratuita e sigilosa via telefone para auxílio psicológico, jurídico, financeiro, social).

Conheça um pouco sobre nós:

Nós atuamos no segmento de energia elétrica do Brasil e temos uma história sólida, desde 1912, de contribuição para o desenvolvimento das cidades e estados que atendemos por meio de soluções em geração, transmissão, distribuição, comercialização de energia e prestação de serviços .

Desde 2017, o Grupo faz parte da State Grid, maior empresa de energia elétrica do mundo, fortalecendo a nossa estratégia de crescimento e o protagonismo no setor elétrico brasileiro.

Através das nossas distribuidoras levamos energia para mais de 10 milhões de endereços, o que corresponde a mais de 22 milhões de pessoas atendidas com a eficiência da nossa rede de atendimento.

Acreditamos que equipes plurais e um ambiente inclusivo para todas as pessoas são fundamentais para a sustentabilidade de organizações inovadoras e com foco em clientes, por isso praticamos ações afirmativas em que reservamos vagas para aumentar cada vez mais a representatividade de grupos sociais minorizados, como por exemplo, mulheres, pessoas com deficiência e pessoas negras. Valorizamos a diversidade e orientamos nossas ações para garantir uma cultura inclusiva e oportunidades a todas as pessoas.

Overview

Analista de Data Analytics Local Pl – Vaga Afirmativa para Pessoas com Deficiência

Onde você vai atuar: Campinas/SP

Modelo de trabalho: Presencial

Empresa: CPFL Renováveis – Uma empresa do Grupo CPFL Energia.

• Formação Superior Completo em Exatas: Engenharias, Estatística, Matemática, Física, Ciência da Computação, ou áreas correlatas;
• Necessário experiência na área de ciência de dados;
• Capacidade analítica e facilidade em modelar, interpretar e apresentar resultados;
• Conhecimento em programação para análise de dados (Ex: Python, Spark);
• Desejável conhecimento em construção de consultas em bancos de dados (Ex: SQL);
• Desejável inglês avançado;
• Disponibilidade para atuação 100% presencial em Campinas/SP.

• Executar análise avançada de dados (advanced analytics/ data science) utilizando conceitos de big data, para gerar insights para as áreas de negócio do grupo CPFL;
• Avaliar, propor e implementar metodologias estatística, de inteligência artificial e machine learning, avaliando o contexto, prazo de entrega e dados disponíveis;
• Liderar projetos de análise de dados com outras áreas para ganhos operacionais nas diversas unidades de negócio, construindo relacionamento com outras áreas, buscando oportunidades, subsídios para compreensão do escopo de trabalho e entendimento das regras envolvidas no negócio;
• Trabalhar na aquisição e tratamento de dados de dados complexos, com foco em alta volumetria, criando códigos de extração replicáveis;
• Realizar apresentações de nivelamento e resultados para todos os públicos da CPFL, incluindo reports aos executivos do grupo e redigir relatório de análise documentando os estudos realizados;
• Acompanhar execução dos modelos em produção, geração de indicadores de desempenho e definição do momento em que os modelos precisam de atualização;

• Vale Transporte;
• Vale Refeição;
• Vale Alimentação;
• Assistência Médica;
• Assistência Odontológica;
• Licença maternidade 6 meses e paternidade 20 dias
• Auxílio creche (conforme regras de elegibilidade);
• Seguro de Vida;
• PLR;
• Wellhub;
• Programa Fale Comigo (assessoria gratuita e sigilosa via telefone para auxílio psicológico, jurídico, financeiro, social).

Nós atuamos no segmento de energia elétrica do Brasil e temos uma história sólida, desde 1912, de contribuição para o desenvolvimento das cidades e estados que atendemos por meio de soluções em geração, transmissão, distribuição, comercialização de energia e prestação de serviços .

Desde 2017, o Grupo faz parte da State Grid, maior empresa de energia elétrica do mundo, fortalecendo a nossa estratégia de crescimento e o protagonismo no setor elétrico brasileiro.

Através das nossas distribuidoras levamos energia para mais de 10 milhões de endereços, o que corresponde a mais de 22 milhões de pessoas atendidas com a eficiência da nossa rede de atendimento.

Acreditamos que equipes plurais e um ambiente inclusivo para todas as pessoas são fundamentais para a sustentabilidade de organizações inovadoras e com foco em clientes, por isso praticamos ações afirmativas em que reservamos vagas para aumentar cada vez mais a representatividade de grupos sociais minorizados, como por exemplo, mulheres, pessoas com deficiência e pessoas negras. Valorizamos a diversidade e orientamos nossas ações para garantir uma cultura inclusiva e oportunidades a todas as pessoas.

Quer saber mais sobre o Grupo CPFL? Acesse:

Overview

Empresa contratante: Banco Agibank S.A. | O modelo de trabalho é presencial. As oportunidades são para pessoas que moram ou desejam morar em Campinas/SP ou região metropolitana de Campinas/SP.

Na Agibank você irá trabalhar com análise de dados para tomada de decisão, construção de dashboards e apoiará análises estatísticas para entender o comportamento dos clientes.

• Estruturar a área de dados em Produtos para facilitar a tomada de decisão;
• Criar dashboards para acompanhamento e performance de produtos;
• Extrair relatórios para análise de negócio e tomada de decisão;
• Apoiar na construção de análises estatísticas com o objetivo de entender o comportamento dos clientes;
• Identificar perfil e comportamento dos clientes para estruturar ações de impacto e rentabilização;
• Planejar e gerenciar as necessidades de bases de dados de clientes para os pontos de atendimento de vendas;
• Analisar informações de mercado e legais para aplicação a novos produtos e melhorias dos produtos existentes.

• Estruturar bases;
• Estudos complexos para tomadas de decisão;
• Coletar, tratar e analisar dados de uso de Conta Corrente, Investimento, Folha de Pagamento ou Cadastro;
• Identificar padrões de comportamento dos usuários e oportunidades de melhoria;
• Definir e acompanhar KPIs relevantes para o produto (ex: churn, LTV, CAC, etc.);
• Criar e automatizar dashboards garantindo gestão do Produto no dia a dia;
• Fornecer insights baseados em dados para apoiar decisões de roadmap, priorização de features e testes A/B;
• Avaliar o impacto de lançamentos e mudanças no produto;
• Trabalhar com Product Managers, Product Owners e Engenheiros de Dados para decisões orientadas por dados.

• Experiência sólida em Analytics;
• Conhecimento avançado em SQL, DataLake; Power BI (construção e automatização), Airflow, Excel, PowerPoint;
• Perfil analítico com conhecimento em manipulação de dados para decisões baseadas em dados;
• Formação superior completa ou em conclusão em áreas técnicas e/ou exatas;
• Capacidade de identificar tendências e gerar insights acionáveis com forte habilidade analítica;
• Conhecimento em Produtos Financeiros (Conta Corrente, Investimento, Folha de Pagamento ou Cadastro) será diferencial;
• Python será um diferencial.

• Vale-refeição e/ou alimentação;
• Plano de saúde com isenção em exames preventivos 1 vez ao ano;
• Plano odontológico;
• Programa Total Pass para atividade física e bem-estar;
• Programa de Participação nos Resultados (PPR) conforme regras anuais;
• Programa de sócios do Agi (Agi de Dono/a);
• Universidade interna (Uni Agi);
• Folga de presente no mês do aniversário;
• Pesquisa semanal de clima;
• Avaliação de performance;
• Teleatendimento psicológico e médico gratuito (Conexão Saúde);
• Licença-maternidade de 6 meses e licença-paternidade de 20 dias;
• Dr. Pet: desconto de até 20% em plano de saúde para pets;
• Auxílio-creche;
• Fretado para Campinas, Indaiatuba, Hortolândia, Santa Bárbara d'Oeste, Americana, Paulínia e Valinhos (segundo disponibilidade de assentos e rota).

O Agibank é para quem vive em eterna busca de conhecimento. Queremos pessoas que enfrentem desafios com coragem, abertura e foco em crescimento. Prepare-se para sair da zona de conforto, ouvir feedbacks empáticos e transformar desafios em oportunidades de aprendizado. Vamos crescer juntos?

Overview

Data Engineering ( Developer BI & Analytics ) role at Kyndryl . Join to apply for the Data Engineering ( Developer BI & Analytics ) role at Kyndryl.

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. We are always moving forward – pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

Are you ready to dive headfirst into the world of data engineering at Kyndryl? As a Data Engineer, you'll craft data platforms into powerful tools for decision-makers, ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. This role is about transforming raw data into actionable insights that drive strategic decisions and innovation. You’ll engineer the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. You’ll be the architect of data pipelines, cleansing, normalizing, and transforming raw data into the final dataset.

Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data solution. You’ll uncover quality issues and initial insights, setting the stage for data excellence. You’ll scrutinize data solutions to ensure alignment with business and technical requirements, supporting data-driven decisions and lifecycle management.

If you’re a technical enthusiast with a passion for data, join us in the exhilarating world of data engineering at Kyndryl.

Every position at Kyndryl offers a path to grow your career, with hands-on experience, learning opportunities, and the chance to certify in major platforms. Whether you want to broaden or narrow your knowledge, you can find opportunities here.

You’re skilled and have the required experience, with a growth mindset and a focus on customer success. You’re open and inclusive, collaborating effectively with others. We are seeking a skilled Data Analytics Specialist to support and optimize data pipelines, reporting solutions, and business intelligence dashboards.

• Strong experience with Teradata, MicroStrategy, and Power BI.
• Advanced SQL skills with expertise in query tuning and optimization.
• Knowledge of data modeling (dimensional modeling preferred).
• Proven ability to work on reporting solutions and BI development.

• Maintain and enhance data pipelines to ensure reliability and accuracy.
• Troubleshoot and resolve reporting issues and data load failures.
• Develop KPI dashboards using MicroStrategy and Power BI.
• Optimize and fine-tune SQL queries for performance.
• Implement dimensional modeling for analytical solutions.
• Design and build custom reports and dashboards to support business decisions.

Hybrid/São Paulo

Diversity is more than looks or origins; it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. Our inclusion networks help create a workplace where everyone can bring their whole self to work and support an equitable culture.

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate. We offer benefits that support well-being and family needs, and learning programs to certify in leading platforms. We also encourage volunteering and giving through our platform.

If you know someone who works at Kyndryl, select Employee Referral during application and enter your contact's Kyndryl email address.

• Mid-Senior level

• Full-time

• Analyst, Information Technology, and Engineering
• Industries: IT Services and IT Consulting

Referrals increase your chances of interviewing at Kyndryl by 2x.

Empresa contratante: Banco Agibank S.A.

O modelo de trabalho é presencial. As oportunidades dos times do Corporativo são para pessoas que moram ou desejam morar em Campinas/SP ou região metropolitana de Campinas/SP.

Aqui no Agibank você terá que:

• Apoiar na construção de análises estatísticas com o objetivo de entender o comportamento dos clientes;
• Acompanhar a performance dos meios físicos e digitais em todas as ações realizadas;
• Identificar perfil e comportamento dos clientes, a fim de propor diferentes impactos de ações de marketing;
• Trabalhar com criação e extração de relatórios para análise de negócio e tomada de decisão;
• Planejar e gerenciar as necessidades de bases de dados de clientes para os pontos de atendimento de vendas.

• Experiência em SQL e DataLake;
• Experiência em Data Visualization (Power BI, Tableau);
• Conhecimento em manipulação de dados;
• Conhecimento em Excel e Power Point;
• Capacidade de pensar criticamente e questionar dados e suposições;
• Pro atividade para sugerir melhorias e questionar os processos estabelecidos, com base na análise de dados;
• Capacidade de identificar tendências e gerar insights acionáveis;
• Forte habilidade analítica para resolver problemas complexos e propor soluções inovadoras.

Alguns benefícios, facilidades e parcerias pra você curtir a jornada com a gente :

· Vale-refeição e/ou alimentação;

· Plano de saúde com isenção em exames preventivos 1 vez ao ano;

· Plano odontológico;

· Total Pass, pra atividade física e bem-estar;

· Programa de Participação nos Resultados (PPR) seguindo as regras estabelecidas anualmente;

· Programa de sócios do Agi, o Tô de Dono/a;

· Universidade interna, a Uni Agi;

· Folga de presente no mês do seu aniversário;

· Pesquisa semanal de clima, a Sem Climão;

· Avaliação de performance;

· Teleatendimento psicológico e médico gratuito, com o Conexão Saúde;

· Licença-maternidade de 6 meses e licença-paternidade de 20 dias;

·Dr. Pet: possibilidade fazer plano de saúde para o seu pet com até 20% de desconto;

·Auxílio-creche.

·Fretado de ida e volta para Campinas e região metropolitana de Campinas. São lugares reserváveis, com chegada às 8h e saída às 18h.

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

• You will lead a team of data engineers to deliver world-class safety solutions
• Partner with customer teams, help see opportunities, gather requirements, and lead a technology roadmap and vision for the team
• Recruit, encourage, and grow a top-notch engineering team
• Develop systems and software to bring world class safety to global BEES

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
• Advanced English;
• Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing.
• Innovate techniques to optimize data pipeline performance, efficiency, and reliability.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Analyze design requirements and constraints to identify optimal solutions for data and software architecture.
• Design scalable, reliable, and performant systems that meet business needs based on architecture requirements.
• Apply data quality assessment techniques such as data profiling, cleansing, and validation to identify and correct data quality issues.
• Implement monitoring and logging architectures for visibility and analysis of system performance and security.
• Analyze CI/CD pipeline configurations and logs for issue diagnosis and optimization opportunities.

• Logical reasoning and analytical skills;
• Meeting deadlines and quality of work;
• Effective and transparent dialog with other areas and co-workers;
• Ability to communicate and interpersonal relationships to present cases and discuss them with other areas involved;
• Being independent in activities;
• Work as part of a team, promoting a good relationship with the team;

• Significant experience building and operating critical high-scale systems
• Good software engineering methodology: meaningful and deeply rooted opinions about testing and code quality, ability to make sound quality/speed trade-offs
• Understand principles and assumptions of different machine learning capabilities.

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About ABI Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

About BEES

As a technology cell of our organization, we have a simple goal: grow. Grow as people, as professionals, as a company. To achieve this, we use technology to create digital solutions that simplify our customers' lives, make their decisions smarter and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.

Responsibilities:

• Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES.
• Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling.
• Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products.
• Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others).
• Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.

Requirements and qualifications:

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
• Advanced English;
• Assess scalability, reliability, security, and compliance implications of data pipeline designs.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Evaluate programming solutions in Python , PySpark , Scala, and SQL for data processing and analysis.
• Evaluate data quality processes and controls to ensure accuracy and completeness.
• Apply debugging techniques to identify and resolve cross-module issues.
• Implement monitoring, alerting, and failure handling mechanisms in architecture designs.
• Assess effectiveness of CI/CD principles and practices in automated pipelines.
• Design, develop, and maintain APIs for data exchange between applications.
• Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.

Soft Skills:

• Logical reasoning and analytical skills;
• Meeting deadlines and quality of work;
• Effective and transparent dialog with other areas and co-workers;
• Ability to communicate and interpersonal relationships to present cases and discuss them with other areas involved;
• Being independent in activities;
• Work as part of a team, promoting a good relationship with the team;

Differentials:

• Evaluate data pipeline solutions for latency, throughput and accuracy.
• Analyze data requirements and business needs to inform data modeling decisions.
• Understand the principles and assumptions of different machine learning capabilities.
• Integrate data sets with visualization tools to create insightful reports and dashboards.

What We Offer:

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

Technical

• Level: Chapter
• Hiring model: CLT

About AB InBev

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About ABI Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

Responsibilities:

• You will lead a team of data engineers to deliver world-class safety solutions.
• Partner with customer teams, help see opportunities, gather requirements, and lead a technology roadmap and vision for the team.
• Recruit, encourage, and grow a top-notch engineering team.
• Develop systems and software to bring world class safety to global BEES.

Requirements and qualifications:

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar.
• Advanced English.
• Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing.
• Innovate techniques to optimize data pipeline performance, efficiency, and reliability.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Analyze design requirements and constraints to identify optimal solutions for data and software architecture.
• Design scalable, reliable, and performant systems that meet business needs based on architecture requirements.
• Apply data quality assessment techniques such as data profiling, cleansing, and validation to identify and correct data quality issues.
• Implement monitoring and logging architectures for visibility and analysis of system performance and security.
• Analyze CI/CD pipeline configurations and logs for issue diagnosis and optimization opportunities.

Soft Skills:

• Logical reasoning and analytical skills.
• Meeting deadlines and quality of work.
• Effective and transparent dialog with other areas and co-workers.
• Ability to communicate and interpersonal relationships to present cases and discuss them with other areas involved.
• Being independent in activities.
• Work as part of a team, promoting a good relationship with the team.

Differentials:

• Significant experience building and operating critical high-scale systems.
• Good software engineering methodology: meaningful and deeply rooted opinions about testing and code quality, ability to make sound quality/speed trade-offs.
• Understand principles and assumptions of different machine learning capabilities.

What We Offer:

• Performance based bonus.
• Attendance Bonus.
• Casual office and dress code.
• Days off.
• Health, dental, and life insurance.
• Discounts on Ambev products.
• School materials assurance.
• Language and training platforms.

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

About QuintoAndar:

QuintoAndar was born to do something very rewarding: open doors. We opened doors for technology to be part of living. And, through it, we simplify and reduce the bureaucracy of the experience of those looking for a new home. Thus, we became the most valuable proptech in Latin America, leading the real estate market in around six countries and more than 75 cities around the globe.

The first steps in the international market have been taken since we acquired Grupo Navent, which is ranked number 1 in Mexico (Inmuebles24), Argentina (Zonaprop), Peru (Adondevivir & Urbania) and Ecuador (Plusvalia) - among others. And most recently, we launched Benvi, our international brand in Mexico, which comes with our residential rental product and service.

We offer an end-to-end ecosystem to make life easier for those looking to rent or buy a home, sell a property and unlock a transaction. Think of zero paper or bureaucracy: everything happens on a single platform, with transparency and speed alongside incredible human support.

We are currently valued at over $5.1 billion (August 2021) and continue to grow 4x year over year, breaking records.

To make all this happen, we have more than 4,000 talented people, working with cutting-edge technology and best design practices to ensure a seamless experience throughout the sales and rental process, combined with smart financial products. Here you will work with the best professionals in the market, in an environment that breathes innovation, collaboration and high performance.

To learn more about our history, visit .

About Grupo QuintoAndar:

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diverse portfolio of brands and solutions that cover all stages of the journey of living. We develop technologies and innovations that transform and leverage the whole living experience.

About working at QuintoAndar:

• Possibility of learning;
• Opportunity to work in a team that seeks to use the best practices and tools in the market;
• Work in an informal environment with a horizontal structure;
• Being part of a team working on a high-impact project that affects the lives of thousands of people.

Location & Remote Work

Our technology team works on the "remote-first" model, which means we are working from home with the possibility of living anywhere in Brazil. We also have the option of using QuintoAndar's offices in São Paulo and Campinas or using partner coworking spaces, both up to twice a week.

Language

This job description is written in English because for that position you will need it for communications with coworkers and suppliers who are from worldwide, for tools and internal materials as well. // A descrição desta vaga está escrita em Inglês porque para esta posição é necessário para a comunicação com colegas e fornecedores, que são de diferentes países, além do uso de ferramentas e materiais internos.

Stages of the Selection Process

Our selection process currently lasts an average of 30-40 days, from application to completion of the assessment. Going through:

• Application
• Interview with Recruiter
• Tech Screening
• Interviews with Data Team
• Leadership & Management
• Offer

About the Position:
The primary goal for this position is to understand the company's data-related needs and develop a high-performance, self-service CDP (Customer Data Platform) with robust pipelines. This includes ensuring reliability, scalability, performance, security, data quality, profiling, documentation, lineage, and more.

Responsibilities of a Data Engineering Manager at QuintoAndar:

• Be a technical reference for your team;
• Overseeing the development and implementation of data pipelines and platform solutions, ensuring the quality, reliability, and scalability;
• Be willing to be hands-on, when needed;
• Discuss business and engineering requirements with analysts, engineers and stakeholders on a deep level and anticipate risks;
• Build a great team both recruiting great talent and helping them grow;
• Evaluating the performance of team members, providing regular feedback, and identifying opportunities for their development;
• Setting clear goals and objectives for the team and ensuring they are aligned with the overall business objectives;
• Communicating effectively with stakeholders at various levels of the organization to understand their requirements or explain technical concepts;
• Advocating for the value of data analytics and engineering within the organization and fostering a data-driven culture.

What we are looking for:

• Recognizes that people are the most important asset and has extensive experience in people and careers management within the data career field.
• A very technical manager that can discuss data event-driven architecture, in a modern stack paradigm;
• Someone with background in both Data Platform and Data Pipelines;
• Expert in dimensional data modeling (star schema or snowflake), with knowledge of technical concepts and best implementation practices;
• Proficient in SQL and Python, passionate about writing clean, performant, and maintainable code;
• Understands the data lifecycle and concepts such as architecture, lineage, governance, privacy, etc.;
• Fluent in cloud infrastructure, such as AWS and GCP;
• Experienced in designing and implementing event-driven architectures;
• Keeps up with the evolution of technologies and best practices in the data engineering domain and seeks to apply them in the team's routine;
• Someone with good communication skills, to collaborate with multiple stakeholders (Engineering, Product, Design, Data and Ops team)
• Able to deal with uncertainty;
• Able to define the strategic roadmap connecting with the business priorities and evolving the tech capabilities as setting the right expectations with the stakeholders;
• Fluency in English is mandatory for this position.

Important:

• Our selection process starts with the application! If you are truly interested in joining our team, make sure to put in extra effort at this stage. We review all candidates individually and provide feedback even to those who do not proceed in the process;
• All communication is done via email, so be attentive to our messages and whitelist the @quintoandar.com.br domain to prevent our emails from going to spam.

• Competitive salary package;
• Bonus
• Meal allowance ("Flash benefícios");
• Health plan;
• Dental plan (optional);
• Life insurance;
• Daycare subsidy;
• Subsidy to sports practicing (Wellhub).
• Extended maternity and paternity leave;
• Reserved room for breast-feeding*;
• Discount on our parking lot;*
• Educational discounts.

Diversity & Inclusion at QuintoAndar

At QuintoAndar, we believe diversity of perspectives and experiences guarantee a differentiated work environment, based on respect and valuing differences. Feel free to declare the information on the registration form. If you are not comfortable answering them, just choose the option "I prefer not to respond". This information helps us create an increasingly inclusive environment and it is used only for this purpose, it is confidential, and it will not impact your performance throughout the hiring process

Data Protection Policy
The information you provide in the recruitment process form is confidential and stored in a secure environment. We have implemented technical and administrative measures to protect your data. To learn more about how we handle personal data, please visit our Privacy Policy .
To exercise your rights regarding your personal data, such as access to data, confirmation of processing, correction of data, anonymization, blocking or deletion, and other rights with the QuintoAndar Group, please contact us through our Customer Service Channel .

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