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Deeply understanding whats in the enterprise data has been a challenge that Databricks has been addressing by providing analytics and machine learning tools. From data warehousing with Databricks SQL to largescale distributed processing with Spark and advanced ML tools for experimentation and model serving we empower our customers to gain insights and drive innovation. With GenAIs ability to understand unstructured data there is a big unlock waiting to happen that will unleash domain specific AI agents for planning researching and carrying out tasks on behalf of the customers.
To enable all this on Databricks making data ingestion seamless is crucial. Thats the mission of the Ingestion Team: To make the ingestion of all datawhether structured or unstructuredsimple. Simplifying the complex is hard and thats where you come in. This role requires building intuitive user experience to ingest highvolume data at petabytes per day scale from diverse sources cloud storage event queues SaaS apps and databases supporting different formats (XML JSON Parquet CSV text blob) and landing them in Delta Lake with schema evolution CDC (change data capture) capabilities.
Join us in making data ingestion effortless and be part of the team that powers the future of AI data analytics at Databricks!
As an engineer on team you will work on projects that
What we look for:
Bonus if you also have:
Full Time