Senior Data Engineer (Pyspark)
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About the Role
Build high-performance data pipelines, collaborate in Agile, and utilize Python, Spark, and SQL for data engineering and machine learning.
Key Skills for This Role
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Overview
Key tasks include
building high-performance, secure, and scalable data pipelines, collaborating with Analytics Delivery Leads, Data scientists and other teams in an Agile environment, and communicating skateholders effectively.
The position requires a degree in a relevant field, at least 4-8 years of experience in data engineering and ML pipelines, and proficiency in technologies like Python, Spark, Data Modeling (including expertise in optimization techniques), Hadoop, SQL, and Git.
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