Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience., 4+ years of overall IT experience with hands-on experience in Python and PySpark., Experience with version control tools like Git and familiarity with Amazon's Analytics and Compute services., Knowledge of bash/shell scripting and experience with various file formats is a plus..
Key responsibilities:
Build PySpark applications using Spark Dataframes in Python with Jupyter notebook and PyCharm.
Optimize Spark jobs that process large volumes of data.
Utilize tools like Jenkins for building, testing, and deploying applications.
Work in an automated release pipeline environment with awareness of DevOps concepts.
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