Data Engineer – Brazil – Vaga exclusiva para PCD

DoorDash; São Paulo; Presencial; BRL 120 000 - 240 000; Tempo integral

Resumo da oferta

DoorDash is seeking a Data Engineer in São Paulo to design, develop and scale data models and pipelines for our Data Lake and Data Warehouse, powering global logistics systems.

You will collaborate with business partners, engineers and product teams to collect data, implement quality checks, and monitor ETL processes. Strong Python/Java, SQL, and distributed data tech (Spark, Kafka) are expected; experience with Airflow and AWS/GCP is required. Interviews will be conducted in English.

Qualificações

• 2+ years of professional experience.
• 2+ years experience in data engineering, BI, or similar role.
• Proficiency in Python/Java.
• 2+ years in ETL orchestration and workflow tools (Airflow, Flink, Oozie, Azkaban) using AWS/GCP.
• Database fundamentals, SQL and distributed computing.

Responsabilidades

• Understand data requirements with business partners and stakeholders.
• Collaborate with engineering, product teams and 3rd parties to collect data.
• Design, develop and implement large scale data models and pipelines for Data Lake/Data Warehouse.
• Develop data quality checks, QA, and monitoring to improve ETL reliability and scalability.
• Manage a portfolio of data products delivering high-quality, trustworthy data.
• Onboard and support other engineers joining the team.
• Interviews will be conducted in English.

Conhecimentos

Python/Java

SQL

Data modeling

Data warehousing

ETL orchestration

Spark/Kafka

AWS/GCP

Communication

Ferramentas

Airflow

Flink

Oozie

Azkaban

Descrição da oferta de emprego

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).

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.

Reasonable accommodations are available throughout the hiring process and in the work environment.

Responsibilities

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines to improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team
• Interviews will be conducted in English

Qualifications

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role
• Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in database fundamentals, SQL and distributed computing
• 2+ years of experience with the distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
• Excellent communication skills and experience working with technical and non-technical teams
• Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in a fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

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.