Software Engineer, Data Tools

Job highlights

• Collaborate in a dynamic startup environment . We re excited about you because . BE / BTech,ME / MTech,or PhD in Computer Science or equivalent . 2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala,Java,and Python .
• Experience improving efficiency,scalability,and stability of data platforms . .

The Data Tools mission is to build robust data platforms and establish policies that guarantee the analytics data is of high quality, easily accessible/cataloged, and compliant with financial and privacy regulations, fostering trust and confidence in our data-driven decision-making process.

We are building the Data Tools team in India and you will have an opportunity to be part of a founding team with a greater opportunity for impact where you can help grow the team and shape the roadmap for the data platform at DoorDash. You will report directly to the Data Tools Engineering Manager.

You re excited about this opportunity because you will

• Work on building a data discovery platform, privacy frameworks, unified access control frameworks, and data quality platform to enable data builders at DoorDash to deliver high-quality and trustable data sets and metrics
• Help accelerate the adoption of the data discovery platform by building integrations across online, analytics platforms and promoting self-serve
• Come up with solutions for scaling data systems for various business needs
• Collaborate in a dynamic startup environment

We re excited about you because

• B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
• 2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python
• Prior technical experience in Big Data infrastructure governance - youve built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like DataHub, Spark, Airflow, Kafka, Flink
• Experience improving efficiency, scalability, and stability of data platforms