Warehouse Manager Jobs in Sao Paulo.
All active Warehouse Manager roles based in Sao Paulo.
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Data Engineer – Brazil – Vaga exclusiva para PCD
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Engineering the future of logistics – from Brazil to the world
This position is dedicated to professionals with disabilities (PCD), in accordance with Brazilian Law No. 8.213/91 (Lei de Cotas).
At DoorDash, we believe diverse teams build better products. We are committed to providing an accessible, inclusive workplace with equal opportunities for all.
Reasonable accommodations are available throughout the hiring process and in the work environment. If you require any accommodation, please inform your recruiter at the beginning of the process.
Medical documentation may be requested in accordance with applicable legislation.
DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.
Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.
We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.
You’re excited about this opportunity because you will…
- Work with business partners and stakeholders to understand data requirements
- Work with engineering, product teams and 3rd parties to collect required data
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
**Interviews will be conducted in English**
We’re excited about you because…
- 2+ years of professional experience
- 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
- 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
- Expert in Database fundamentals, SQL and distributed computing
- 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
- Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Brazil
Data Engineer
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Engineering the future of logistics – from Brazil to the world
DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.
Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.
We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.
You’re excited about this opportunity because you will…
- Work with business partners and stakeholders to understand data requirements
- Work with engineering, product teams and 3rd parties to collect required data
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
**Interviews will be conducted in English**
We’re excited about you because…
- 2+ years of professional experience
- 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
- 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
- Expert in Database fundamentals, SQL and distributed computing
- 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
- Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Brazil
Data Engineer – Brazil – Vaga para mulheres
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Engineering the future of logistics – from Brazil to the world
This role is part of our commitment to increase the representation of women in technology at DoorDash Brazil. We strongly encourage candidates who identify as women to apply.
We are building an engineering team where women have equitable access to opportunity, leadership, and long-term career growth within our São Paulo hub.
DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.
Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.
We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.
You’re excited about this opportunity because you will…
- Work with business partners and stakeholders to understand data requirements
- Work with engineering, product teams and 3rd parties to collect required data
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
**Interviews will be conducted in English**
We’re excited about you because…
- 2+ years of professional experience
- 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
- 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
- Expert in Database fundamentals, SQL and distributed computing
- 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
- Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Brazil
Data Engineer, Corporate Data
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About the Team
At DoorDash, people are our most important asset. We build the capability to help our leaders make more informed decisions on identifying, attracting, developing, and retaining talent. We’re looking for a Data Engineer to help us scale our analytics alongside DoorDash’s enormous growth. Come build, experiment, and grow while shaping a best-in-class data team at DoorDash.
About the Role
DoorDash is seeking an experienced data engineer to join our People Intelligence team supporting HR functions. We’re a data-driven organization, empowering local economies and our people to do the best work of their careers. This role will get in on the ground floor helping to build and support the data infrastructure powering our data-driven insights to attract, develop, and retain the best talent to power and grow DoorDash. You will support and scale our people reporting and analytics within the People Team. In this role, you will partner with a team of analysts, scientists, and engineers to develop the tools and insights for our people and decision-makers. Come help us enable our business to garner insights and be a builder, engineer, consultant, and security/privacy advocate.
You’re excited about this opportunity because you will…
- Architect and engineer our data infrastructure for People data
- Design and implement data warehouse schemas, tables, and views to provide a source of true datasets
- Develop ETL pipelines using tools such as Airflow and dbt for data profiling, cleaning, and transformation
- Support self-service analytics projects by creating secure data structures
- Provide underlying data support for all People metrics (recruiting pipelines, attrition, employee engagement, diversity and inclusion, compensation and benefits, etc.)
- Ensure data integrity across all People data
- Rigorously document system requirements and configuration to build operational excellence
- Understand and identify opportunities to improve, working closely with cross-functional teams
- Train peers on new processes and functionality as needed
- Help build data governance with a single source of truth
We’re excited about you because you have…
- 5+ years of industry experience in data engineering or software engineering
- Experience deploying cloud architecture like dbt, Airflow, and Databricks in AWS
- Expert SQL skills and experience writing complex queries
- Proficiency authoring Airflow DAGs
- Experience with data observability and monitoring frameworks
- Strong business thinker, able to use ‘first principles’ to solve challenging business problems at their root level
- Data-driven, able to analyze data with strong attention to detail and accuracy, and passionate about telling the story behind the data hence turning the data into insight
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Brazil
About Us
Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.End-to-End Data Projects: leading data projects with high autonomy, from requirements gathering and stakeholder alignment to database modeling and data delivery.
Data Pipelines & Ingestion: designing, building and maintaining robust data pipelines, sometimes from scratch, ensuring reliability, scalability and performance.
Data Platform Engineering: contributing to the design, documentation, maintenance, monitoring and optimization of our data codebase and tools.
ETL/ELT Optimization: identifying opportunities to improve scalability, performance and reliability across our ETL/ELT platforms.
Business Translation: translating business needs into data products and solutions aligned with Nubank’s data platform tools, architecture and long-term strategy.
Stakeholder Partnership: negotiating and defining data strategies with technical and business stakeholders to deliver high-impact solutions, always aligned with Nubank’s data governance principles.
Mentorship & Data Literacy: acting as a mentor to team members and contributing to data literacy initiatives across Nubank.
- Solid experience in Data Architecture & Design, working in complex and/or large-scale data environments.
- Strong ability to write highly optimized SQL queries to solve complex problems and perform data modeling.
- Hands-on experience implementing and maintaining data pipelines from scratch.
- Strong programming experience with general-purpose languages (e.g. Python, Scala, R).
- Passion for data and building high-quality data products.
- Excellent communication skills to work effectively with both technical and business stakeholders.
- Knowledge of software engineering best practices (documentation, automated tests, clean code, etc.).
- Experience with analytical data architectures and modeling techniques (e.g. Data Lake, Data Warehouse, Data Mart).
- Familiarity with distributed data systems and parallel processing.
- Ability to abstract business concepts into quantitative metrics (e.g. KPIs, OKRs).
- Experience with data visualization tools such as Looker, Power BI, Tableau or similar.
- Advanced English (B2+ according to CEFR).
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Explore How We Build Technology At Nubank
🔗 building.nubank.com.br ↗
🎥 youtube.com/@building.nubank ↗
🎧 Listen to our stories on Spotify ↗
Ready to apply?
Apply to Nubank
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
WHAT YOU’LL DO
We are looking for a Senior Software Engineer to join our Cloud Data Ingestion & Transformation (CDIT) team. This team is vital to Braze's growth, owning multiple systems that enable customers to quickly and successfully integrate their data with our platform. CDIT focuses on two main product areas. The primary one is Braze’s Cloud Data Ingestion, which allows customers to seamlessly leverage the data in their cloud warehouse in Braze. Our system processes trillions of data points annually and integrates with an ever-growing variety of Braze features. We also own Data Transformation, a platform for customizing the flow of data from external sources into Braze. By increasing the comprehensiveness and ease of use of these systems, the engineer who joins us will have a direct and meaningful impact on our customers' success and the company's growth.
WHO YOU ARE
- 6+ years of full-stack development experience, with a strong focus on building scalable web applications. While our primary focus is on the back-end, we own our features end-to-end and regularly deliver front-end experiences
- Experienced technical leader with a track record of driving architectural decisions and contributing to technical strategy
- Strong understanding of design, data structures, and algorithms
- A self-starter with great communication and organizational skills who has worked in an agile team environment before
- Willingness to learn the technologies required to deliver what customers need
- Bonus points:
- Professional experience building software at scale, handling high volumes of data and traffic
- Experienced building automated data pipeline, asynchronous processing, or ETL applications using tools like Kafka, Airflow, Sidekiq, SQS, and RabbitMQ
- Professional experience with Ruby on Rails, Python/Django, React, Snowflake, microservice architecture, and distributed systems
- Familiarity with modern data warehousing, BI, and analytics
- Experience with agile processes
- A passion for incrementally delivering high-quality software which delights customers
#LI-Hybrid
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
Business Analyst | Foco em Dados - Remote - English Advanced
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SOBRE A CAPCO
A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.
Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada Be Yourself At Work, que valoriza a diversidade e o talento.
Com presença global nos principais centros financeiros - temos 33 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Sobre a oportunidade:
Estamos em busca de um(a) Senior Consultant com experiência sólida em Business Analysis com plataformas de Big Data e vivência em ambientes de Cloud. Esta é uma excelente oportunidade para profissionais técnicos que desejam atuar em projetos de alto impacto, com foco em soluções escaláveis, processamento de grandes volumes de dados e modernização de ambientes analíticos.
Requisitos Desejáveis:
- Experiência com Data Lake, Delta Lake e arquiteturas orientadas a eventos.
- Certificações em Cloud (ex: AWS Certified Data Analytics, Azure Data Engineer, etc.).
- Conhecimentos em linguagens como Python, Scala ou Java voltadas para processamento de dados.
- Familiaridade com ferramentas de orquestração como Airflow, Apache Nifi, DBT ou similares.
- Entendimento de boas práticas de governança de dados, segurança e compliance.
POR QUE CAPCO:
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
Estamos em busca de um(a) Business Analyst com forte atuação em projetos de dados, capaz de traduzir necessidades de negócio em requisitos técnicos e análises estratégicas. O(a) profissional ideal terá experiência em ambientes de Big Data, conhecimento em ferramentas como Snowflake e Hadoop, e facilidade em interagir com áreas técnicas e de negócio.
Responsabilidades:
-
Levantar, mapear e analisar requisitos de negócio voltados a dados e analytics;
-
Traduzir necessidades das áreas de negócio em histórias de usuário e requisitos técnicos claros;
-
Trabalhar em parceria com times de engenharia de dados, ciência de dados e produto;
-
Realizar análises exploratórias de dados e gerar insights acionáveis;
-
Documentar processos, fluxos de dados e regras de negócio;
-
Apoiar o desenho de soluções de dados com foco em escalabilidade e performance;
-
Garantir a qualidade e integridade das entregas de dados (requisitos, relatórios, dashboards, etc.).
Requisitos:
-
Experiência prévia como Business Analyst ou Product Analyst em projetos de dados;
-
Familiaridade com ambientes de Data Warehouse e Data Lake;
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Conhecimento em ferramentas como Snowflake, Hadoop, Hive, Spark, etc.;
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Experiência com análise de dados utilizando SQL avançado;
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Capacidade de leitura e entendimento de pipelines de dados;
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Habilidade de comunicação com perfis técnicos e não técnicos;
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Conhecimento de metodologias ágeis (Scrum/Kanban).
- Inglês avançado.
Diferenciais:
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Experiência com ferramentas de BI (Power BI, Tableau, Looker);
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Noções de modelagem de dados (dimensional, relacional, etc.);
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Experiência em ambientes Cloud (AWS, GCP ou Azure);
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Experiência em projetos de governança de dados ou compliance (LGPD, GDPR).
PRÓXIMOS PASSOS:
O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.
- Etapa 1: Entrevista comportamental.
- Etapa 2: Entrevista técnica.
- Etapa 3: Conversa com time de Projeto/ Delivery.
- Etapa 4: Conversa com cliente.
- Etapa 5: Proposta ou feedback.
As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.
Ready to apply?
Apply to Capco