The Senior ETL Developer will be responsible for designing, implementing, and optimizing distributed data processing jobs to handle large-scale data in Hadoop Distributed File System (HDFS) using Apache Spark and Python. This role requires a deep understanding of data engineering principles, proficiency in Python, and hands-on experience with Spark and Hadoop ecosystems. The developer will collaborate with data engineers, analysts, and business stakeholders to process, transform, and drive insights and data-driven decisions.
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Job Type
Full-time
Career Level
Senior