Senior Data Engineer

About this job

What You’ll Do Build and maintain batch and streaming data pipelines. Move production data into archival/data lake storage safely and observably. Improve quality, reliability, and observability of derived datasets. Design validations for freshness, completeness, schema correctness, and data quality. Build reusable datasets that reduce one-off data extraction and aggregation work. Optimize queries and data processing jobs for correctness, latency, and cost. Prototype in the right tools, then integrate scoped production experiments with amo’s systems where needed. Must Have Senior-level experience building and operating data pipelines. Strong Python and SQL. Production experience with Python or Scala. Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg.…

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