136 Empregos para Customer data - São Paulo

Join to apply for the Customer Engineer, Data Analytics, Google Cloud role at Google .

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
• Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), cloud market, engaged dynamics, and customer buying behavior.
• Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Google Cloud empowers startups to address critical needs in scaling, growth, and global expansion, while offering advanced technologies that drive differentiation, customer acquisition, and business acceleration.

As a Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers in the Startup ecosystem. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data life-cycle. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data life-cycle.
• Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Prepare and deliver business messaging to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFIs.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

• Not Applicable

• Full-time

• Sales, Advertising, and Customer Service

• Information Services and Technology, Information and Internet

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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Please submit your resume in English - we can only consider applications submitted in this language.

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.

• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
• Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), cloud market, engaged dynamics, and customer buying behavior.

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Google Cloud empowers startups to address critical needs in scaling, growth, and global expansion, while offering advanced technologies that drive differentiation, customer acquisition, and business acceleration.

As a Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers in the Startup ecosystem. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data life-cycle. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data life-cycle.

• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Workdirectlywith Google Cloud products to demonstrate and prototype integrations in customer and partner environments.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Especialista em Data Entry - Trabalho Remoto:

Há mais de 15 anos, a BairesDev é líder em projetos tecnológicos. Entregamos soluções inovadoras para gigantes como Google e Rolls-Royce e as startups mais inovadoras do Vale do Silício.

Temos uma equipe diversa de mais de 4.000 profissionais formada pelo Top 1% dos talentos de tecnologia do mundo, trabalhando remotamente em cargos de impacto global.

Ao se candidatar para este cargo, você está dando o primeiro passo em um processo que vai além do comum. Nosso objetivo é alinhar suas paixões, habilidades e expectativas às nossas vagas, colocando você no caminho para desenvolver uma carreira de sucesso excepcional.

Estamos à procura de Especialistas em Data Entry para integrar nossa equipe de aquisição de talentos e participar de diferentes projetos formados por equipes multiculturais distribuídas em todo o mundo. Esta pessoa deve ser pró-ativa, orientada aos detalhes e demonstrar excelentes habilidades analíticas, bem como trabalho em equipe e habilidades multitarefa. Esta é uma excelente oportunidade para aqueles profissionais que procuram se desenvolver em uma das empresas que mais crescem no setor!

1. Apoiar a área de Recrutamento na identificação e contato inicial de potenciais candidatos para nossas buscas.
2. Propor novas alternativas para a identificação de candidatos.
3. Identificar oportunidades de melhoria nos processos atuais da área.
4. Gerenciar os avisos nos diferentes portais de emprego com os quais trabalhamos e avaliar os candidatos que se candidatam a eles.
5. Identificar e analisar os perfis profissionais nos portais de emprego para as diferentes buscas que temos abertas.

1. Proatividade e capacidade de trabalhar em equipe.
2. Atenção marcada aos detalhes no trabalho diário.
3. 1+ experiência de trabalho anterior (é uma vantagem).
4. Nível avançado de inglês.

• Modalidade 100% remota - trabalhe de qualquer lugar.
• Excelente remuneração em USD ou na sua moeda local, como preferir.
• Hardware para você trabalhar de casa.
• Horários flexíveis - faça seu próprio horário.
• Licença parental remunerada, férias e feriados nacionais.
• Ambiente de trabalho inovador e multicultural.
• Colabore e aprenda com o Top 1% global dos talentos de cada área.
• Ambiente de apoio com mentoria, promoções, desenvolvimento de habilidades e diversas oportunidades de crescimento.

Junte-se a uma equipe global onde seus talentos excepcionais podem se destacar!

Overview

Data Engineering Entry Level, Brazil - X Delivery | Join to apply for the Data Engineering Entry Level, Brazil - X Delivery role at BCG X

Locations: São Paulo | Rio de Janeiro

Join the BCG X Delivery team and work on innovative projects with our consulting units. As a Data Engineer, you’ll use modern data engineering practices to strengthen BCG Consulting and BCG X across different areas. You’ll lead the design, development, and delivery of data solutions, adapting them to client needs. From quick prototypes to enterprise-grade systems, you’ll ensure efficient, high-quality results. Your work will directly support project success and help bring ideas to life.

Technical Requirements - Required

• Programming Languages: Python and SQL
• Data Engineering: Relational databases (PostgreSQL, MySQL, MariaDB or other)
• NoSQL databases (MongoDB, Redis, Neo4j or other)
• Distributed data systems (Spark - PySpark or Hadoop)
• Cloud platform (AWS, Azure or GCP)

Technical Requirements - Nice To Have

• Data orchestration (Airflow, Data Factory, Glue, Prefect, Dagster or other)
• Data visualization (Power BI, Tableau or Looker)
• Data modeling (Snowflake, Star schema)
• Containerization (Docker, Kubernetes)
• Streaming frameworks (Kafka)
• Storage (Azure Data Lake Storage)

Job Requirements

• Bachelor’s or master’s degree
• Fluency in Portuguese and English
• Experience in Data Engineering across various industries, delivering analytics solutions in commercial environments

Core Attributes

• Use Big Data tools and frameworks to meet project needs
• Build and optimize ETL processes across different systems
• Partner with teams to define outcomes, choose methods, and deliver insights
• Lead analytics modules and communicate results clearly
• Share learnings, improve best practices, and ensure confidentiality
• Mentor junior team members and support technical training
• Communicate effectively in writing and speaking
• Apply strong analytical skills across the full analytics lifecycle

Please apply for the positions equivalent to your previous work experiences. The seniority will be evaluated according to your experience and career structure at BCG X during the process. Even if you don’t meet all these requirements, we encourage you to apply if this job description excites you.

Note: The recruiting process will start on September 17th. Start date in 2026. Applicants from São Paulo and Rio de Janeiro, including surrounding areas within a 150km radius of the capitals, will be considered.

BCG is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under applicable law, where applicable.

Note: For this position, we are considering applicants from São Paulo and Rio de Janeiro, including both the capital cities and the surrounding areas within a 150km radius of the capitals.

• Entry level

• Full-time

• Information Technology

• Business Consulting and Services

Referrals increase your chances of interviewing at BCG X by 2x

A Logicalis valoriza a diversidade, oferecendo iguais oportunidades a todos os candidatos qualificados, independentemente de género, raça, orientação sexual, deficiência ou qualquer outra característica.

Ajudamos milhares de empresas a se transformarem e terem sucesso em um mundo digital.

Acreditamos que a tecnologia pode mudar o mundo e torná-lo um lugar melhor para viver promovendo uma cultura alinhada aos nossos valores: integridade, inovação, excelência, parcerias e empoderamento.

Veja como será o seu dia a dia:

• Projetar, construir e manter pipelines de dados escaláveis, seguros e eficientes.
• Desenvolver e manter processos de ingestão, transformação e disponibilização de dados em tempo real e batch.
• Trabalhar com grandes volumes de dados, estruturados e não estruturados.
• Implementar soluções de dados usando serviços em nuvem (ex: AWS S3, Glue, Redshift, Athena, Lambda).
• Realizar modelagem de dados para data lakes, data warehouses e data marts.
• Atuar junto às áreas de negócio e analytics para garantir a qualidade, disponibilidade e governança dos dados.
• Automatizar processos de dados e apoiar a criação de frameworks reutilizáveis.
• Monitorar pipelines e sistemas de dados, resolvendo falhas e gargalos de performance.

O que você precisa para ocupar esta vaga?

• Experiência sólida com engenharia de dados
• Experiência sólida com Python / PySpark
• Conhecimento em SQL avançado
• Experiência com Spark ou Apache Beam
• Experiência nos serviços AWS: S3, Glue, Athena, Lambda, Redshift, Step Functions, CloudWatch
• Conhecimentos em Terraform ou CloudFormation, CI/CD e Docker
• Capacidade de trabalhar com times multidisciplinares
• Foco em performance, escalabilidade e governança de dados
• Boa comunicação (especialmente para discutir soluções técnicas com não-especialistas)
• Inglês avançado
• Graduação completo

Certificação: AWS Certified Data Engineer – Associate

Modelo de trabalho : Híbrido (Barueri/ SP)

Plano de saúde

️ Vale Refeição e Alimentação

Previdência Privada

Auxílio creche

Programa de Apoio ao profissional

Wellhub

São Paulo, São Paulo, Brazil 9 months ago

São Bernardo do Campo, São Paulo, Brazil 1 week ago

Job Description Projetar, construir e manter pipelines de dados escaláveis, seguros e eficientes. Desenvolver e manter processos de ingestão, transformação e disponibilização de dados em tempo real e batch. Trabalhar com grandes volumes de dados, estruturados e não estruturados. Implementar soluções de dados usando serviços em nuvem (ex: AWS S3, Glue, Redshift, Athena, Lambda). Realizar modelagem de dados para data lakes, data warehouses e data marts. Atuar junto às áreas de negócio e analytics para garantir a qualidade, disponibilidade e governança dos dados. Automatizar processos de dados e apoiar a criação de frameworks reutilizáveis. Monitorar pipelines e sistemas de dados, resolvendo falhas e gargalos de performance.

Qualificações

About Us

Pacifica Continental is an international recruitment consultancy that provides various services focused on talent acquisition to impact companies’ businesses worldwide. We offer a young, dynamic environment and are result-oriented, with the main goal of delivering outstanding solutions for our clients.

Our customized solutions and consultative approach ensure we select the best talent in the market. Our operations span over 50 countries and more than 250 cities globally.

We pride ourselves on working with precision and expertise across a wide range of industries.

Our DNA

Ambition: We are guided by excellence, pushing for progress rather than perfection.

Connection: We believe that people are the true drivers of our company.

Global Mindset: We value diversity and believe it enriches us.

Ownership: We take responsibility for our actions.

At Pacifica, you will have ample opportunities to grow and contribute to the development of others. We prioritize well-being and professional growth.

Take a Look Into Your Future at Pacifica Continental

As a Data Specialist , you will develop projects within Pacifica’s data and process technology scope, aiming to optimize business performance, facilitate management, and reduce costs.

This role includes managing data architecture, overseeing Azure, MS Fabric, and Power Platform infrastructure, fostering innovation, managing internal ERP (PacOS) and CRMs (JazzHR, Apollo, Zoho, Hubspot, DashR.), addressing stakeholder requests, developing dashboards, automations, ETL processes, and maintaining cloud infrastructure.

• Manage Data Engineering, BI, RPA, Apps, and related projects, defining requirements and deliverables;
• Maintain and customize cloud resources (servers, VMs, Active Directory, web apps, etc.);
• Manage Power Platform products, including administration and governance;
• Serve as database administrator for Azure SQL Server;
• Develop Power BI dashboards for various departments;
• Build data pipelines using SQL, Python, SparkSQL, PySpark, Azure Data Factory, Data Flows Gen2, and other Microsoft Fabric tools;
• Create process automations in Power Automate, N8N, and Python;
• Develop applications in Power Apps;
• Act as Product Owner for PacOS and Product Manager for DashR;
• Lead strategic planning using OKR and Balanced Scorecard methodologies;
• Support internal departments with process improvement and decision-making.

Requirements:

Soft skills and educational background:

• Bachelor’s degree in Technology, Engineering, or Business Administration preferred;
• Postgraduate degree or MBA is a plus;
• At least 6 years of experience in roles like Analytics Engineer or Data Specialist, preferably in multicultural environments;
• Fluent English is mandatory (daily communication in English required);
• Advanced Spanish is a plus;
• Business-oriented mindset;
• Ability to work independently with ownership;
• Motivated to work in multicultural settings;
• Ability to handle confidential information;
• Good communication skills.

Hard Skills & Knowledge:

• Proficiency in Excel and Power BI (Power BI report builder is a plus);
• Experience with Power Query and Data Flow Gen2;
• Knowledge of SQL Server Management Studio, Oracle, or MySQL;
• Familiarity with Figma, Spark (PySpark or SparkSQL), T-SQL, Python, DAX, M language;
• Experience with Azure services including SQL, Virtual Machines, Web Apps, IAM, Entra, Docker;
• Proficiency with Power Apps, Power Automate, SharePoint, Postman, API Requests, N8N;
• Experience with Microsoft Fabric or similar platforms;
• Knowledge of CRM systems like Hubspot, Apollo, JazzHR, Zoho is advantageous.

What we offer:

• Competitive salary;
• Meal and Grocery vouchers;
• Gympass;
• Health and Dental Insurance (SulAmérica Saúde);
• Life Insurance;
• Transportation vouchers;
• Equipment for home office upon request;
• Hybrid work model.

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more .

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.

We are looking for a Fraud Data Analyst to work directly with our customers on our Merchant Health Team. You will be part of a growing analytics team that is responsible for Riskified’s customers’ performance and online fraud prevention using quick problem-solving skills in real time. You will own a major part in researching and investigating new online-fraud trends and stand at the forefront of Riskified’s work. You’ll leverage your data analysis skills and knowledge of our product to provide meaningful insights directly to our customers.

• Research and explore data, using high level analytical tools (R and SQL) in a high level technical environment
• Master the online fraud prevention domain through hands-on analysis of live data
• Define and execute end-to-end technical solutions for fraud-prevention problems
• Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences
• Work with account managers, meet directly with clients, and deliver analytical insights to business questions
• Collaborate with various teams within Riskified to enhance processes and meet customers’ needs

• Fluent (written and verbal) in English and Portuguese required
• 1-2+ years in fraud analytics
• 1-2+ years of relevant strong analytical experience with complex data
• 1-2+ years of hands-on work experience with SQL (must be proficient)
• 1-2+ years of hands-on work experience with R / Python (must be proficient)
• Experienced problem solver and critical thinker
• Ability to work simultaneously on different tasks and lead multiple projects

*The position requires occasional evening and weekend shifts (schedule is flexible) as we support a global client base

*Please submit your CV/Resume in English

Product Data Specialist

As a Product Data Specialist, you'll be directly impacting our results through insights and reports. You'll be working close to product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. It will be your responsibility, alongside the Analytics team, to nurture the data-driven culture within the company, making data easier to consume, be it through interactive reports, easy-to-use datasets, documentation, training.

Help Us Build the Future of Outdoor Services

At LawnStarter, we’re transforming the $100B+ outdoor home services industry—making it easier for homeowners to book, manage, and enjoy services like lawn care, landscaping, and more. With $0M+ in venture funding and solid traction, we’re investing in the next generation of our platform—and we’re looking for a Product Data Specialist to help drive it.

See what we are building!

Problems to be solved

Your primary responsibility will be to empower our organization to be more data-driven, and there are many ways to accomplish that, such as:

• Modeling & Analysis : A marketplace is a complex system, with various moving parts and often contradicting signals. That creates an extremely exciting pool of opportunities to find gaps, insights, or optimizations. The analysis and models we need have different degrees of complexity, from simple AB tests to multivariate models on retention or ETA. We expect you to have advanced experience in SQL and intermediate experience in Python or R.

• Reporting : If a complex system creates an exciting pool of opportunities, it also creates a high number of metrics that we need to keep track of to run the business efficiently. However, a dashboard is only as good as our trust in being correct and updated. It’s your responsibility to understand the needs of the teams you’ll be working with and help the Analytics team create and maintain our reporting system, keeping it organized and user-friendly. For that, you’ll be mainly using Tableau and Metabase.

• Analytics Engineering : Although it won’t be your main focus, occasionally, you will need to work on the inner layers of our Data Warehouse to provide clean and documented datasets to empower our reports and end users within the organization. Understanding the business needs and consolidating them into our DW is crucial to maintaining a reliable single source of truth. We use DBT for the data transformation, so SQL experience is a must.

• Experience : You have 4+ years of experience in data & analytics at data-driven companies.
• Education : You have a STEM or business background or relevant education that makes you suited to empower our organization to be more data-driven.

• Learning Mindset : You take pride in understanding problems deeply and asking the right questions. You can absorb a variety of topics with extreme ease, having a structured and logical approach to developing your understanding of the business and its challenges. This is unlikely to be a good fit if you have a preconceived system of processes and methods and plan on just applying them without first learning all the ways our business is unique.

• Team player: You are ready to work alongside exceptional people, helping them achieve great results. You create an environment where people are excited to work with you daily, with intellectual honesty and trust.
• Business focus : You care deeply about understanding business needs and how your analysis connects with our product, customers, and financials. You can envision how metrics drill down from the highest to the lowest level, identifying what needs to be analyzed or reported on each.
• Bias for action : You understand that despite your careful approach to understanding problems and identifying opportunities, you actively try to avoid being a perfectionist or getting yourself tied up in knots. You have a bias for action in order to make progress. You enjoy being scrappy and constraints enthrall you. This is unlikely to be a good fit if you, by default, like building full solutions from the get-go.

VERY IMPORTANT REMINDER: Please upload your English resume—applications without it will not be considered.

Perks of Working with Us

• Work from anywhere
• Salary range: $62-$80k USD ann ally
• Flexible hours —get the work done on your schedule
• Unlimited PTO —We focus on results. Take the time you need to recharge or enjoy life and work hard when you return.

LawnStarter is building the future of outdoor home services. Want to help us shape it?
Apply now and let’s grow together.