Cientista De Dados jobs in Brazil

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.

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.

• 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

• 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