Data Engineer, People Analytics - Brazil - Vaga para mulheres

About the role

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. Help us build the future of logistics - from Brazil to the world DoorDash is building the world's most reliable on-demand logistics platform. As part of our global expansion, we are investing heavily in Brazil and growing our engineering presence in São Paulo. This is a unique opportunity to join one of Silicon Valley's fastest-growing companies-while staying close to home. 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 Intelligence team supporting HR functions. 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 Contribute to building AI-ready data marts 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, business intelligence or software engineering Expert SQL skills and experience writing complex queries Proficiency in programming languages such as Python/Java Experience in ETL orchestration and workflow management tools like Airflow, flink, Oozie and Azkaban using AWS/GCP Proficiency authoring Airflow DAGs Experience with data observability and monitoring frameworks Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms

Requirements

• dbt (data build tool) as a project admin and authoring models
• Monitoring services like Splunk
• Observability services like Monte Carlo
• About DoorDash
• Our Commitment to Diversity and Inclusion

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