ElasticSearch : how to rank on skill rating in full text search? - elasticsearch

Question

I have quite a simple case but can't find the good way to solve it:
I have People, their Skills are rated. They also have other information attached (eg: city). All of this is in my ElasticSearch index.
Example:
John
Paris
Python: 7/10
Boris
Paris
Python: 3/10
Mike
Frankfurt
Python: 7/10
I would like to perform a text search only to find people.
If I type "Python", the better rated someone is, the higher it should be
If I type "Python Paris", it should get all people in Paris sorted by Python rating
Here is an example of people document in ES index:
{
"_index": "senso",
"_type": "talent",
"_id": "12469",
"_version": 1,
"found": true,
"_source": {
"id": 12469,
"nickname": "Roger",
"first_name": "Moore",
"last_name": "Bond",
"companyName": null,
"email": "example#example.org",
"city": "Marseille",
"region": "Provence-Alpes-Côte d'Azur",
"internalGlobalRating": 5,
"declaredDailyPrice": 650,
"declaredAnnualSalaryTarget": null,
"boughtDailyPrice": null,
"soldDailyPrice": null,
"skillsRatings": [
{
"skillName": "Direction Artistique Web",
"skillId": 1298,
"rating": 9
},
{
"skillName": "UX Design",
"skillId": 1295,
"rating": 9
},
{
"skillName": "Identité Visuelle",
"skillId": 1319,
"rating": 8
},
{
"skillName": "Illustrator",
"skillId": 1425,
"rating": 9
},
{
"skillName": "Photoshop",
"skillId": 1427,
"rating": 9
},
{
"skillName": "InDesign",
"skillId": 1426,
"rating": 9
}
],
"expertises": [
{
"name": "Direction Artistique Web",
"id": 1298
},
{
"name": "UX Design",
"id": 1295
},
{
"name": "Identité Visuelle",
"id": 1319
}
],
"missionTypes": [
{
"name": "Freelance sur place",
"id": 2
},
{
"name": "Freelance en télétravail",
"id": 3
},
{
"name": "Forfait",
"id": 4
}
],
"tools": [
{
"name": "Illustrator",
"id": 1425
},
{
"name": "Photoshop",
"id": 1427
},
{
"name": "InDesign",
"id": 1426
}
],
"themes": [],
"medias": [],
"organizationType": {
"id": 2,
"name": "Studio"
},
"source": {
"id": 2
},
"spokenLanguages": [
{
"id": 2
},
{
"id": 3
}
],
"mainLanguage": {
"id": 1,
"name": "Français"
}
"created": "2011-10-05T20:17:52+02:00",
"updated": "2017-07-03T15:59:11+02:00",
"applicationDate": "2011-10-05T20:17:52+02:00",
"portfolio": {
"id": 95,
"visible": true,
"submissionTime": "2017-01-13T18:20:31+01:00",
"isDisplayed": 1,
"isPublic": 1
}
}
}
I wonder which approach I should choose : tweak at index time or custom queries, or both ?
Any clue on how to tackle this problem would be appreciated.
Thank you.