Analytics Engineer - Brazil– Vaga para mulheres

DoorDash Brazil; São Paulo; Presencial; BRL 150 000 - 200 000; Tempo integral

Resumo da oferta

DoorDash Brazil is looking for an Analytics Engineer to enhance their data-driven approach within São Paulo. The role demands at least 3 years of experience in data analytics and proficiency in SQL, Python, or Scala. You will design data models, optimize ETL processes, and collaborate across teams to enable self-service analytics. DoorDash promotes diversity and encourages women to apply, creating a supportive environment for growth and career development.

Qualificações

• 3+ years experience in business intelligence, data analytics, or data engineering.
• Strong knowledge of ETL/ELT processes and data quality.
• Experience with machine learning concepts is a plus.

Responsabilidades

• Design and maintain robust data models for analytics.
• Collaborate to understand data requirements and solve challenges.
• Build processes to ensure reliable data reporting.

Conhecimentos

Strong SQL skills

Experience in data modeling

Proficiency in Python or Scala

Excellent communication skills

Ability to think strategically

Experience with reporting and dashboard solutions

Ferramentas

Tableau

Snowflake

DataBricks

Descrição da oferta de emprego

Analytics Engineer - Brazil– Vaga para mulheres

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.

At DoorDash, we believe diverse teams build better products. This opportunity is designed to create greater equity in access to engineering roles and long‑term career growth within our São Paulo engineering 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 success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing dashboards, data structures, and data warehouse architecture; this team serves as the foundation for decision‑making at DoorDash.

DoorDash is looking for an Analytics Engineer to build and scale data models, pipelines, and self‑service analytics across the organization. In this role, you’ll focus on developing a reliable aggregation layer and reporting structure that meets our growing business needs, enabling teams to access and analyze data independently.

You’re excited about this opportunity because you will…

• Design, develop, and maintain robust data models to support analytical and product data needs across the organization
• Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions
• Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance
• Own and define business KPIs, their measurement plans, data requirements and reporting
• Build processes to ensure correct, timely and reliable reporting
• Address ad‑hoc reporting requirements and find pathways for automation
• Build and enforce common design patterns to increase report reusability, readability and standardization
• Build visually appealing, high‑performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets

Interviews will be conducted in English

We’re excited about you because…

• 3+ years experience working in business intelligence, data analytics, Data engineering or a similar role
• Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3NF, data vault)
• Proficiency in a programming language such as Python or Scala
• Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem
• Expert in Database fundamentals, SQL and performance tuning
• Excellent communication skills and experience working with technical and non‑technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Nice to Haves:
• Experience with real‑time data processing and streaming technologies
• Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau).
• Familiarity with machine learning concepts and their data requirements

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.