Pembinaan
Soda Data Nv | Germany
Huraian
Kualiti data adalah kelemahan era AI. Setiap Fortune 500 cuba menyelesaikan masalah ini. Kamilah pasukan yang mereka panggil. Soda adalah lapisan kualiti data untuk Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, dan Nubank. Enjin sumber terbuka kami, Soda Core, digunakan oleh syarikat seperti Tesla, Slack, Adyen, Walmart, dan JPMC. Kategori ini berkembang dengan pantas kerana AI tidak berfungsi pada data yang buruk, dan kami mempekerjakan seorang Engineer Full-Stack Senior untuk membina platform yang menangkap masalah data sebelum ia menjadi masalah perniagaan. Mengenai Kami Misi Soda adalah untuk mengawasi keputusan dunia. Kami membina platform pemantauan prestasi Data & AI pertama yang meliputi pengumpulan data ke membuat keputusan automatik. Soda membantu pelanggan mencari, memahami, dan memperbaiki masalah kualiti data dengan menggabungkan pemantauan pasca-produksi automatik dengan ujian data paip pra-produksi. Soda ditubuhkan pada tahun 2019 oleh Maarten (pegawai #5 di Collibra) dan Tom (pencipta beberapa projek sumber terbuka yang menghasilkan nilai berjuta-juta). Kami memasarkan melalui Soda Cloud dan kami mendapat dana yang baik, dengan pelabur seperti Point 9 Capital, Hummingbird, Singular, dan Eurazeo. Peranan Anda akan memimpin kerja bahagian hadapan dalam salah satu pasukan produk kami: aplikasi TypeScript/Angular dengan komponen Storybook-driven dan liputan Cypress e2e, di hadapan bahagian belakang Java. Anda memiliki pengalaman pengguna dari hujung ke hujung, dari arsitektur komponen dan pengurusan keadaan ke bentuk API, kerana bahagian belakang juga milik anda untuk disentuh.
Kami jurutera produk, bukan pemegang tiket: anda akan bercakap dengan pengguna, bentuk reka bentuk dengan PM anda, dan hantar tanpa menunggu untuk tangan-off. Frontend adalah kemahiran anda; penuh-stack adalah jangkauan anda. Anda akan menghabiskan kebanyakan masa anda di frontend, dan anda boleh hantar titik akhir backend apabila ciri memerlukannya daripada memfailkan tiket dan menunggu. Kami juga bina agen: Agen pengekodan AI adalah sebahagian daripada aliran kerja harian di sini, bukan eksperimen di sisi. Apa yang anda akan lakukan.
you're a developer, you'll be responsible for:• Developing the front-end of our Cypress e2e suite;• Developing the front-end of our Cypress e2e suite;• Developing the front-end of our Cypress e2e suite;• Developing the front-end of our Cypress e2e suite;• Developing the front-end of our Cypress e2e suite;• Developing the front-end of our Cypress e2e suite;• Developing the front-end of our Cypress e2e suite;• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• HireWeRequirements• Hi
10 years of experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the field of data engineering.• Experience in the
100% pay, 100% benefits, and 100% benefits for the first 3 years.• 100% pay, 100% benefits, and 100% benefits for the first 3 years.• 100% pay, 100% benefits, and 100% benefits for the first 3 years.• 100% pay, 100% benefits, and 100% benefits for the first 3 years.• 100% pay, 100% benefits.•OurO
Kemahiran yang Diperlukan
Computer Software, Remote
Perincian Tugas
Pengalaman: 0 tahun
Dimuatkan: 1 month, 2 weeks sebelum
Paparan: 590
Laksana pada ArbeitnowDiperoleh dari Arbeitnow · buka posting asal.
Dapatkan aplikasi yang disesuaikan untuk peranan ini
Serahkan resume awak dan kami akan tulis surat penutup yang bertujuan untuk senarai ini - percuma, dan bersedia pada masa akaun awak dicipta.
PDF, Word atau teks. Kami cipta akaun percuma anda pada skrin seterusnya - tiada kad.
Mempekerjakan untuk peranan seperti ini?
Posting kerja jauh anda di WFHJ dan mencapai calon yang sepadan. Tiada bayaran.
Hantarkan kerja — percuma