Job Description
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The ideal candidate will have:
- 2-3 years working experience as a Data Engineer, Data Platform Engineer, or Data Infrastructure Engineer
- Experience with data platform technologies (dbt, Airflow, Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc)
- Knowledge on how to design, build and maintain data transformations efficiently and reliably across a variety of use cases (e.g. reporting, growth analysis, multi-dimensional analysis)
- Experience in performing data analysis, data ingestion and ETL (Extraction, Transformation & Loading)
- The ability to work and thrive in a small group: strong communication, collaboration, and empathy
You will succeed in this role if you:
- Have experience working across multiple engineering teams to drive data platform products forward
- Have experience in building fault-tolerant data pipelines with logging, monitoring, alerting, and observability.
- A track record of making quality vs. deadline tradeoffs in fast-paced environments
- Demonstrate resourcefulness and comfort with ambiguity—we won't know the answers to everything, but we'll figure it out together
Date Posted
01/24/2025
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