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Position: Data Engineer

Location: Remote

Implementing Spark pipelines using Scala for it. 

·         Then, the candidate must have enough understanding and experience
working with Spark. 

·          How to create, deploy and execute spark applications to apply
complex transformations to the data.

·          At least it is required to be at a middle level. For example, how
to: create, join, filter, and transform Data Frames, efficiently.

 

About Scala, need to be focusing on Spark applications. 

·         Then the candidate should know enough to implement Spark pipelines.

·          An expert on Scala is not needed, but at least to have good
fundamentals. 

·         Understand the primary types of objects/structures like Case
Classes, Tuples, and Collections

·         How to interact with Collections to transform them (map, flat Map,
foreach, etc.), and How to deal with NULLS that are discouraged in Scala.

 
Reference : Data Engineer jobs

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Published at 16-01-2023
Viewed: 94 times