Analytics Engineer - Brazil – Vaga exclusiva para PCD at DoorDash USA

São Paulo, São Paulo, Brazil -

Full Time

Start Date

Immediate

Expiry Date

27 Jun, 26

Salary

0.0

Posted On

29 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Modeling, Python, Scala, ETL/ELT, KPI Definition, Reporting, Dashboarding, Tableau, Sigma, Data Lake, Snowflake, Database Fundamentals, Performance Tuning, Communication, Strategic Thinking

Industry

Software Development

Description

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 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, 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. 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.

Responsibilities

The Analytics Engineer will design, develop, and maintain robust data models to support analytical and product data needs across the organization, collaborating with various stakeholders to translate requirements into scalable data solutions. This role involves owning the definition of business KPIs, building reliable aggregation layers, and creating high-performing reporting and dashboard products.