Data Engineer

Posted 2 Days Ago
Be an Early Applicant
Brazil
Senior level
Business Intelligence • Consulting
The Role
As a Senior Data Engineer at DoorDash, you will design and implement data models and pipelines, enhance ETL processes, and manage data products to provide high-quality data solutions. You will collaborate with various teams to meet data requirements and onboard new engineers.
Summary Generated by Built In

About the TeamData is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.


About the RoleDoorDash 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.


You’re excited about this opportunity because you will…


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


**Interviews will be conducted in English**


We’re excited about you because…


3+ years of professional experience


3+ years experience working in data engineering, business intelligence, or a similar role 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 Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker


Comfortable working in fast paced environment, self starter and self organizing


Ability to think strategically, analyze and interpret market and consumer information


You must be located near one of our engineering hubs indicated above

Top Skills

Hive
Java
Python
Spark
SQL
The Company
HQ: Charlotte, NC
57 Employees
On-site Workplace

What We Do

InOrg helps organizations achieve global competitiveness through the seamless integration of talent, technology, and strategic capabilities.

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