My client is a very well-funded, Series-C global streaming platform headquartered in San Francisco with offices in LA, NYC, and Beijing - They are the fastest growing LEGAL free streaming platform in the world.

I am looking for a Senior Data Engineer:

Responsibilities:

Design, implement and build ETL pipelines that deliver data with measurable quality
Understand the data needs, including schema, the frequency of the data by interacting with machine learning engineers and data scientists
Develop Scala (or equivalent) scripts to generate enriched tables or logs using distributed scalable platforms (Databricks)

What's Required:

5+ years of a proven track record in a data engineering or related role.
Ability to take ownership of the design, implementation, and maintenance of scalable end to end data pipelines.
Ability to quickly evaluate and make trade-off decisions on adopting emerging technologies.
Strong knowledge of Scala and Apache Spark 2.0+.
Building real-time data pipelines using Redshift, S3, Kinesis, Spark structured streaming, Akka streams, and similar stacks on leading cloud platforms.
Experience with DAG workflow schedulers like Airflow.
A passion for shipping production quality code with good test coverage using testing frameworks for testing Spark code
BSc/MSc in Computer Science or related field

On Offer:

Base salary up to $250k
Equity
Amazing benefits - Unlimited PTO, catered lunches etc

Senior Data Engineer (Scala) | Global Streaming Startup