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Job Description

Senior Data Engineer role at DoorDash focusing on scaling data infrastructure, automation, and pipelines, with a hybrid setup near San Francisco, Sunnyvale, or Seattle.

Responsibilities

  • Collaborate with business partners and stakeholders to capture data needs and requirements
  • Coordinate with engineering, product teams, and external partners to gather necessary data
  • Architect and build scalable, high volume data models and pipelines for Data Lake and Data Warehouse environments
  • Create and enforce data quality checks, perform QA, and implement monitoring routines
  • Enhance the reliability and scalability of ETL processes
  • Oversee a portfolio of data products delivering accurate and trustworthy data
  • Onboard and mentor new engineers joining the team

Requirements

  • 5+ years of professional experience
  • 3+ years in data engineering, business intelligence, or a similar role
  • Proficiency in programming languages such as Python or Java
  • 3+ years using ETL orchestration and workflow management tools such as Airflow, Flink, Oozie, and Azkaban on AWS or GCP
  • Strong foundation in database fundamentals, SQL, and distributed computing
  • 3+ years in distributed data ecosystems (Spark, Hive, Druid, Presto) and streaming technologies like Kafka or Flink
  • Experience with Snowflake, Redshift, PostgreSQL or other DBMS platforms
  • Excellent communication skills and experience collaborating with technical and non technical teams
  • Knowledge of reporting tools such as Tableau, Superset, and Looker
  • Comfortable in a fast paced environment, self starter and self organizing
  • Ability to think strategically and analyze market and consumer information
  • Must be located near one of the engineering hubs listed above

Technologies

  • Python
  • Java
  • Airflow
  • Flink
  • Oozie
  • Azkaban
  • AWS
  • GCP
  • Spark
  • Hive
  • Druid
  • Presto
  • Kafka
  • Snowflake
  • Redshift
  • PostgreSQL
  • Tableau
  • Superset
  • Looker

Benefits

  • Premium healthcare
  • Wellness expense reimbursement
  • Paid parental leave

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