Job Description

Responsibilities
  • Design and develop highly scalable, real‑time systems using Hadoop ecosystem components such as Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink, and NiFi.
  • Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi‑model data (image, audio, video, unstructured documents) with both batch and real‑time processing.
  • Develop full‑stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
  • Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.
  • Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
  • Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit‑learn, XGBoost), including model deployment.
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