Spark Developer

The Spark Developer role involves developing and maintaining Spark applications to process and analyze large datasets. Responsibilities include designing and implementing efficient Spark pipelines, optimizing performance, and integrating Spark with other data processing frameworks. Requirements include strong Python and Scala programming skills, experience with Spark core concepts like RDDs, DataFrames, and Datasets, and familiarity with Spark's ecosystem tools like Databricks, PySpark, and Spark SQL.