Backed by Index, Kleiner Perkins and NEA.
About the role
Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company.
What they're looking for
- 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale
- You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)
- You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow
- You have experience working with different performant warehouses and data lakes, Redshift, Snowflake, Databricks
- You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka
- You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data
More about this role
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In...
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