Data Engineer

DoorDash; São Paulo; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

Uma empresa de tecnologia inovadora está buscando um Engenheiro de Dados Sênior para escalar sua infraestrutura de dados. O profissional atuará no desenvolvimento de pipelines de dados, garantindo a qualidade dos dados e colaborando com diferentes equipes. Procura-se alguém com experiência sólida em engenharia de dados, habilidades em programação como Python e conhecimento em ferramentas de ETL. O trabalho ocorre em um ambiente dinâmico que valoriza a diversidade e a inclusão.

Qualificações

• 3+ anos de experiência profissional em engenharia de dados ou áreas similares.
• Habilidade em trabalhar em ambientes dinâmicos, proativo e auto-organizado.
• Excelentes habilidades de comunicação.

Responsabilidades

• Colaborar com parceiros de negócios para entender requisitos de dados.
• Desenhar e implementar modelos de dados de alta performance para Data Lake e Data Warehouse.
• Gerenciar um portfólio de produtos de dados garantindo alta qualidade.

Conhecimentos

Python

Java

ETL

SQL

Kafka

Ferramentas

Airflow

Snowflake

Redshift

PostgreSQL

Tableau

Descrição da oferta de emprego

About the Team

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization, and financial reporting. By implementing pipelines, data structures, and data warehouse architectures, this team serves as the foundation for decision-making at DoorDash.

About the Role

DoorDash is seeking a Senior Data Engineer to help scale our data infrastructure, automation, and tools to meet growing business needs.

Responsibilities include:

• Collaborating with business partners and stakeholders to understand data requirements
• Working with engineering, product teams, and third parties to collect required data
• Designing, developing, and implementing large-scale, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse
• Developing data quality checks, conducting QA, and implementing monitoring routines to improve ETL process reliability and scalability
• Managing a portfolio of data products ensuring high-quality, trustworthy data
• Supporting onboarding and mentorship of other engineers

Additional Information

Interviews will be conducted in English.

Qualifications

• 3+ years of professional experience in data engineering, business intelligence, or similar roles
• Proficiency in programming languages such as Python or Java
• Experience with ETL orchestration and workflow management tools like Airflow, Flink, Oozie, and Azkaban using AWS or GCP
• Expertise in database fundamentals, SQL, and distributed computing
• Experience with distributed data ecosystems (Spark, Hive, Druid, Presto) and streaming technologies like Kafka or Flink
• Experience with Snowflake, Redshift, PostgreSQL, or other DBMS platforms
• Excellent communication skills and ability to work with both technical and non-technical teams
• Knowledge of reporting tools such as Tableau, Superset, and Looker
• Ability to work in a fast-paced environment, be self-starting and self-organizing
• Strategic thinking and market analysis skills
• Must be located near one of the company's engineering hubs

Additional Notes

Notice to applicants for jobs in NYC or remote jobs associated with NYC offices.

We use Covey as part of our hiring process for jobs in NYC. The Covey tool has been reviewed by an independent auditor. Results can be viewed here: Covey.

About DoorDash

DoorDash aims to empower local economies through innovative logistics and technology, evolving from a food delivery service to a platform for all goods. We value diversity and inclusion and are committed to supporting employee well-being.