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We are looking for a motivated Pyspark Bigdata Developer to join our team. This hybrid role offers an opportunity to work across the full data lifecycle, developing and testing data-centric applications. Responsibilities include writing complex PySpark code in a BigData environment, utilizing big data processing tools, and understanding distributed systems. The ideal candidate will have a Bachelor's degree and a minimum of 4 years of experience in data development or software quality assurance.
We are seeking a motivated and data-savvy Pyspark Bigdata Developer r to join our growing team. This role is perfect for an individual passionate about data, with foundational skills in both software development and quality assurance. The successful candidate will be responsible for developing and testing data-centric applications, with a strong focus on writing complex Strong programming skills in PySpark and Python in a BigData environment. This hybrid role offers a unique opportunity to work across the entire data lifecycle, from development and testing of data pipelines to delivering actionable insights through BI tools.
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This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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