Let's assume tab1 and tab2 have 3 fields each as a_id, aa1, aa2 and c_id, c_fk_account_id_created_by, cc1
The query will be as follows
db.tab1.aggregate([{$match:{a_id:2}},{$lookup:{from:'tab2', localField:'c_fk_account_id_created_by', foreignField:'a_id', as:'ccArray'}},{$unwind:'$ccArray'},
{$project:{a_id:1,aa1:1, aa2:1, c_id:'$ccArray.c_id',c_fk_account_id_created_by:'$ccArray.c_fk_account_id_created_by',cc1:'$ccArray.cc1'}},{$match:{c_id:3}}])
Explanation of the above query:
As MongoDB doesn't allow to match from second table in the aggregation pipeline so we have to unwind the second table array and compare the value 
select   * 
from     tab1 a, tab2 c 
where    a.a_id = 2 ==> {$match:{a_id:2}}
and      c.c_id = 3  ==> (Cannot be done at first so it can be acheived as ) ==> {$unwind:'$ccArray'},
{$project:{a_id:1,aa1:1, aa2:1, c_id:'$ccArray.c_id',c_fk_account_id_created_by:'$ccArray.c_fk_account_id_created_by',cc1:'$ccArray.cc1'}},{$match:{c_id:3}}
and      a.a_id = c.c_fk_account_id_created_by ==> {$lookup:{from:'tab2', localField:'c_fk_account_id_created_by', foreignField:'a_id', as:'ccArray'}}