Data Engineer, Corporate Data

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

Resumo da oferta

DoorDash Brazil is seeking an experienced Data Engineer to join their People Analytics team. This role involves architecting data infrastructure, developing ETL pipelines, and ensuring data integrity to support analytics for recruiting, engagement, and diversity metrics. Ideal candidates will have strong SQL skills and experience with cloud architectures.

Qualificações

• 5+ years of industry experience in data engineering or software engineering.
• Expert SQL skills and experience writing complex queries.
• Proficiency in deploying cloud architecture like dbt and Airflow.

Responsabilidades

• Architect and engineer data infrastructure for People data.
• Develop ETL pipelines using tools like Airflow and dbt.
• Ensure data integrity across all People data.

Conhecimentos

Data-driven

SQL

Data observability

Attention to detail

Ferramentas

Airflow

dbt

Databricks

AWS

Descrição da oferta de emprego

At DoorDash, people are our most important asset. We build the capability to help our leaders make more informed decisions on identifying, attracting, developing, and retaining talent. We’re looking for a Data Engineer to help us scale our analytics alongside DoorDash’s enormous growth. Come build, experiment, and grow while shaping a best-in-class data team at DoorDash.

About the Role

DoorDash is seeking an experienced data engineer to join our People Analytics team. We’re a data-driven organization, empowering local economies and our people to do the best work of their careers. This role will get in on the ground floor helping to build and support the data infrastructure powering our data-driven insights to attract, develop, and retain the best talent to power and grow DoorDash. You will support and scale our people reporting and analytics within the People Team. In this role, you will partner with a team of analysts, scientists, and engineers to develop the tools and insights for our people and decision-makers. Come help us enable our business to garner insights and be a builder, engineer, consultant, and security/privacy advocate.

You’re excited about this opportunity because you will…

• Architect and engineer our data infrastructure for People data
• Design and implement data warehouse schemas, tables, and views to provide a source of true datasets
• Develop ETL pipelines using tools such as Airflow and dbt for data profiling, cleaning, and transformation
• Support self-service analytics projects by creating secure data structures
• Provide underlying data support for all People metrics (recruiting pipelines, attrition, employee engagement, diversity and inclusion, compensation and benefits, etc.)
• Ensure data integrity across all People data
• Rigorously document system requirements and configuration to build operational excellence
• Understand and identify opportunities to improve, working closely with cross-functional teams
• Train peers on new processes and functionality as needed
• Help build data governance with a single source of truth

We’re excited about you because you have…

• 5+ years of industry experience in data engineering or software engineering
• Experience deploying cloud architecture like dbt, Airflow, and Databricks in AWS
• Expert SQL skills and experience writing complex queries
• Proficiency authoring Airflow DAGs
• Experience with data observability and monitoring frameworks
• Strong business thinker, able to use ‘first principles’ to solve challenging business problems at their root level
• Data-driven, able to analyze data with strong attention to detail and accuracy, and passionate about telling the story behind the data hence turning the data into insight