'Storing Multipolygon in postgresql to than combine with another table Javascript

I have a huge file that consist of alot of multiploygons in a geojson file. I would like to save this in my database and than join it with another table. Is the best way to replace the [ and ] with () and store it that way with POLYGON, or is the are better way to solve this? I am using node/express as my server. This is an example of how the geojson polygon looks like:

[
                    [
                        [
                            [
                                5.298194750258646,
                                59.38375612268108
                            ],
                            [
                                5.238152914790201,
                                59.4331770913096
                            ],
                            [
                                5.246387750030943,
                                59.44504006435416
                            ],
                            [
                                5.222177425937638,
                                59.501686571431904
                            ],
                            [
                                5.243359043597426,
                                59.50341929734903
                            ],
                            [
                                5.278484958388046,
                                59.48087209115295
                            ],
                            [
                                5.302875561757018,
                                59.481165220603096
                            ],
                            [
                                5.302876866809597,
                                59.48115641055075
                            ],
                            [
                                5.314694597433288,
                                59.47542080310011
                            ],
                            [
                                5.370557859276996,
                                59.4953383200662
                            ],
                            [
                                5.3972584589994845,
                                59.48324530159345
                            ],
                            [
                                5.374708831533977,
                                59.455300953268335
                            ],
                            [
                                5.354964883102463,
                                59.45375477233842
                            ],
                            [
                                5.352086576894662,
                                59.41387824954343
                            ],
                            [
                                5.347118304423263,
                                59.4002262241702
                            ],
                            [
                                5.298194750258646,
                                59.38375612268108
                            ]
                        ]
                    ]
                ]


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