Senior Data Engineer (PySpark & Hadoop)

Requirements:

• Minimum 5+ years of hands‑on experience using PySpark for large‑scale data processing and analytics.
• Strong experience working with Big Data platforms, handling high‑volume, high‑velocity datasets.
• Proven expertise in Hadoop ecosystem components such as HDFS, YARN, Hive, and related tools.
• Demonstrated ability to design, optimize, and maintain scalable and reliable data pipelines.

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