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Spark Architect

2 months ago

Leeds, United Kingdom Pracyva Ltd Full time

Context: Legacy ETL code for example DataStage is being refactored into PySpark using Prophecy low-code no-code and available converters.

Converted code is causing failures/performance issues.

Skills:

Spark Architecture component understanding around Spark Data Integration (PySpark, scripting, variable setting etc.), Spark SQL, Spark Explain plans.

Spark SME Be able to analyse Spark code failures through Spark Plans and make correcting recommendations.

Spark SME Be able to review PySpark and Spark SQL jobs and make performance improvement recommendations.

Spark SME Be able to understand Data Frames / Resilient Distributed Data Sets and understand any memory related problems and make corrective recommendations.

Monitoring Be able to monitor Spark jobs using wider tools such as Grafana to see whether there are Cluster level failures.

Cloudera (CDP) Knowledge of understanding how Cloudera Spark is set up and how the run time libraries are used by PySpark code.

Prophecy High level understanding of Low-Code No-Code prophecy set up and its use to generate PySpark code.