Analytics Engineer - Brazil– Vaga para mulheres

1 мес. назад

BrazilLATAMMiddleOnsite

data warehousedashboardsproduct analyticsreporting

Analytics Engineer role focused on building and scaling data engineering solutions for DoorDash Brazil's logistics platform.

Требования

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
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

Другое

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