Dynata is seeking a Senior Data Engineer to design, build, and maintain data pipelines powering the enterprise lakehouse. You will anchor the data engineering team, delivering robust ELT/ETL solutions and mentoring junior engineers.
You will design scalable batch and streaming pipelines using Spark, Kafka, and Flink, implement lakehouse architecture with Delta Lake or Iceberg, and optimize complex PySpark transformations on large datasets.
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