How to tune spark job on (execution time wise and cluster utilization wise)

Hi Team,

It would be appreciated if someone please guide me how to set spark memory for spark job, where cluster utilization should take 1%-2% memory only for each spark job. Please share math's logic how to calculate on below cluster node details as -

#1 How many working Nodes Cluster we have currently? |
>Nodemanagers:166 
>Datanodes:159 

#2 How many Cores per Node we have currently ? |
>64 Cores 

#3 How much GB RAM per node. we have currently ? |
>503 GB 

==== Wanted to calcuate for spark job ===

#1driver-memory

#2 executor-memory

#3 driver-cores

#4 executor-cores

#5 num-executor

========================

Please suggest if any additional parameter help to tune the spark job (execution time and cluster utilization) wise.