Learn and use an ETL tool
You'll save yourself a lot of time and pain if you use ETL tools like Pentaho Kettle or Talend Studio to automate the data transfer and merging. They'll happily connect to the Pg instance and the Oracle instance and do the required copying and merging using quite flexible strategies. They can consume CSV dumps too.
Use CSV dumps
If you need to use dumps, try to dump individual tables using COPY ... FORMAT CSV rather than attempting to wrangle pg_dump into doing Oracle-compatible partial dumps. This will save you a great deal of time when importing them into other DBMses, since pretty much everything understands CSV. Keep the schemas consistent for each instance so you don't need to handle different schemas for different instances.
Use disjoint set or composite keys
Where unique keys are used, make sure you assign disjoint key ranges to different instances (eg the key range is instance_id * 10^7 to (instance_id + 1 * 10^7)-1) or use composite keys of (instance_id, generated_key). If you use disjoint ranges add a CHECK constraint to enforce it; similarly, if using composite keys add a CHECK constraint to force the instance_id part to a constant.
Lowest common denominator data types
Avoid using PostgreSQL arrays, record types, and hstore. They'll all dump as string literals in CSV dumps and you'll have to parse them in order to do something useful with them. For example:
regress=> SELECT ROW( ARRAY[1,2,3], ARRAY['a','b','withquotehere:''inline', 'doublequotehere:"'], ARRAY[ ROW(1,'a'), ROW(2,'b') ] );
row
--------------------------------------------------------------------------------------------
("{1,2,3}","{a,b,withquotehere:'inline,""doublequotehere:\\""""}","{""(1,a)"",""(2,b)""}")
(1 row)
You really, really don't want to have to parse that. It's a pretty extreme case, an anonymous record value containing three different arrays, one an array of integers, one an array of strings including quotes, and one an array of anonymous two-field row tuples. But seriously ... use plain relational modelling and CSV export, the convenience of composite types, hstore, and arrays aren't worth the compatibility pain if you know you'll be doing lots of cross-DB work.
It's actually possible to use them in your schema, you'll just need to COPY FROM a set of queries that expands them into appropriate relational structures. Since you're going to have to do that, you might as well use regular relational modelling in the first place and save yourself some pain.
Enums are OK; you can just treat them as strings when loading them. They're just a convenient and performant shortcut for a side table and a FK constraint anyway, allowing you to avoid joins and sorts.
In modern PostgreSQL, bytea is output as hex strings. In older versions, it's output as octal escape sequences. Either way, you can load it into a varchar column in Oracle then convert it if you can't get Oracle to natively understand the representation. I haven't dealt with Oracle binary types, so I can't help much more there.
Best Answer
You could try the Schema Comparison Tool from dbsolo. I don't know if you can compare different databases with one another.
You have to keep in mind that Oracle and PostgreSQL have quite different table definition clauses which make it difficult to compare them accurately.