To find a minimal sufficient statistic you can take the likelihood ratio and find a function $T$ so that the ratio does not depend on the parameter $\theta$ , as page 18 here http://sites.stat.psu.edu/~mga/514/Ch6.pdf does it.
Since I do not understand the proof, I wonder if I can understand this via some logic or intuition.