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Senior Staff ML Engineer
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- We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
- As a tech lead specialized in data engineering, you are expected to code and contribute to the stack.
- Work with Privacy and Security team on data governance, risk and compliance initiatives
- Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools
- Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark)
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