Analytics Engineer - Brazil

Doordashinternational; São Paulo; Presencial; BRL 80 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Comprehensive benefits

Inclusive workplace

Employee well-being support

Resumo da oferta

Doordashinternational in São Paulo is seeking an Analytics Engineer to build and scale data models and analytics tools. The role involves designing data structures, collaborating with teams for data requirements, and optimizing ETL processes for reliability and performance.

The ideal candidate will have extensive experience in data analytics, SQL, and programming languages like Python. Join a company committed to diversity and innovation, pushing the boundaries of logistics technology.

Qualificações

• 3+ years of experience in business intelligence, data analytics, or data engineering.
• Strong SQL skills with data modeling techniques.
• Proficiency in Python or Scala.

Responsabilidades

• Design and maintain data models for analytical needs.
• Collaborate with teams to translate data requirements.
• Implement ETL/ELT processes for data quality.

Conhecimentos

Business intelligence

Data analytics

SQL

Python

Data modeling techniques

Dashboarding solutions

Ferramentas

Tableau

Snowflake

Databricks

Descrição da oferta de emprego

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 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 a 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.

We are committed to supporting employees’ happiness, healthiness, and overall well‑being by providing comprehensive benefits and perks.