Analytics Engineer

DoorDash Brazil; São Paulo; Sur place; BRL 120 000 - 180 000; Plein temps

Résumé du poste

DoorDash Brazil is seeking 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.

Join a growing Brazil hub and work with data engineers, data scientists, and business stakeholders to deliver scalable data solutions and impactful dashboards using

Qualifications

• 3+ years experience in BI, data analytics, data engineering or a similar role.
• Strong SQL skills and data modeling techniques (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.

Responsabilités

• 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.

Connaissances

SQL

Python

Scala

Data modeling

Looker

Tableau

Data warehousing

Communication

Outils

Snowflake

DataBricks

Redshift

Description du poste

Engineering the future of logistics – from Brazil to the world

About the Team

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.

About the Role

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, 3 Nf, 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

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.

To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.

Voluntary Self-Identification

As described in our Applicant Privacy Notice, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in DoorDash’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.