dbt Jobs in Sao Paulo.
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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.
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Scale Solutions Engineer
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The impact you will have:
- You will ensure new customers have an excellent experience by providing technical assistance early in their journey
- You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
- You will work directly with multiple customers concurrently to provide technical solutions.
- Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
- 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
- Experience in one or more of the following:
- Solid understanding of the end to end data analytics workflow
- Excellent time management and prioritization skills
- Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
- Knowledge of a programming language - Python, Scala, or SQL
- Knowledge of end-to-end data analytics workflow
- Hands-on professional or academic experience in one or more of the following:
- Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
- Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
- Excellent time management and prioritization skills
- Excellent written and verbal communication, in English and Portuguese
- Bonus
- Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
- Databricks certification(s)
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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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;
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Traduzir necessidades das áreas de negócio em histórias de usuário e requisitos técnicos claros;
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Trabalhar em parceria com times de engenharia de dados, ciência de dados e produto;
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Realizar análises exploratórias de dados e gerar insights acionáveis;
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Documentar processos, fluxos de dados e regras de negócio;
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Apoiar o desenho de soluções de dados com foco em escalabilidade e performance;
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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;
-
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:
-
Experiência com ferramentas de BI (Power BI, Tableau, Looker);
-
Noções de modelagem de dados (dimensional, relacional, etc.);
-
Experiência em ambientes Cloud (AWS, GCP ou Azure);
-
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.
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