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DoorDash is looking to scale its data infrastructure, automation, and tools to meet growing business needs.

Requirements

• Proficiency in programming languages such as Python/Java
• 3+ 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
• 3+ 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
• Knowledge of reporting tools such as Tableau, Superset and Looker
• 3+ years of professional experience working in data engineering, business intelligence, or a similar role

Responsibilities

• 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
• Work with engineering, product teams and 3rd parties to collect required data
• Help onboard and support other engineers as they join the team
• Work with business partners and stakeholders to understand data requirements

Other

• Excellent communication skills and experience working with technical and non-technical teams
• Ability to think strategically, analyze and interpret market and consumer information
• Comfortable working in fast paced environment, self starter and self organizing
• You must be located near one of our engineering hubs
• 3+ years of professional experience
• 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws
• Medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program