Data Engineer

Sobre a Vaga

DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. 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; 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.

Requisitos

✅ 3+ years of professional experience

✅ Data engineering

✅ Business intelligence

✅ Python

✅ Java

✅ ETL orchestration

✅ Workflow management tools

✅ Airflow

✅ Flink

✅ Oozie

✅ Azkaban

✅ AWS

✅ GCP

✅ Database fundamentals

✅ SQL

✅ Distributed computing

✅ Distributed data ecosystem

✅ Spark

✅ Hive

✅ Druid

✅ Presto

✅ Streaming technologies

✅ Kafka

✅ Snowflake

✅ Redshift

✅ PostgreSQL

✅ DBMS platforms

✅ Tableau

✅ Superset

✅ Looker

✅ Excellent communication skills

✅ Experience working with technical and non-technical teams

✅ Self starter

✅ Self organizing

✅ Strategic thinking

✅ Market and consumer analysis

Formato

Presencial ou remoto associado ao escritório em NYC

Local de Trabalho

New York City, EUA

Informações Adicionais

✅ Interviews will be conducted in English

✅ Must be located near one of our engineering hubs

✅ Use of Covey tool in hiring process

✅ We offer comprehensive benefits and perks

✅ Commitment to diversity and inclusion

✅ If you need accommodations, inform recruiting contact