Senior Collections Associate
Coupa Software
Manage complex receivables across Coupa’s global customer portfolio, overseeing collections and dispute resolution. Work with internal teams to improve cash performance and address account risks.
Ochish
Stefanini LATAM raqamli transformatsiya va biznesni modernizatsiya qilishga yo‘naltirilgan texnologik yechimlar provayderidir. 30 yildan ortiq tajribaga ega kompaniya avtomatlashtirish, sun’iy intellekt, kiberxavfsizlik va ma’lumotlar tahlili orqali tashkilotlarga operatsion modellar hamda mijozlar tajribasini yaxshilashda yordam beradi. Uning faoliyati konsaltingni texnologiyalarni joriy etish bilan birlashtirib, mijozlarga jarayonlarni optimallashtirish, bozor sharoitlaridagi o‘zgarishlarga javob berish va barqaror o‘sish imkoniyatlarini aniqlashda ko‘maklashadi.
Junior ma'lumotlar muhandisi
Stefanini LATAM jamoasiga Junior ma'lumotlar muhandisi sifatida qo'shilib, Google Cloud platformasida ETL va ELT konveyerlarini ishlab chiqing. Python, SQL, Spark, BigQuery va Airflow yordamida bulutli ma'lumotlar yechimlarini yarating.
Tavsif
- Paketli va hodisalarga asoslangan ETL va ELT ma'lumotlar konveyerlarini loyihalash, ishlab chiqish va qo'llab-quvvatlash
- Google Cloud Platform platformasida ma'lumotlarni qayta ishlash va saqlash yechimlarini joriy etish
- Python, SQL va Spark yoki PySpark yordamida ma'lumotlar jarayonlarini yaratish
- BigQuery, Cloud Storage, Dataflow, Dataproc va Pub/Sub bilan ishlash
- Airflow va Cloud Composer yordamida orkestratsiya ish jarayonlarini joriy etish va qo'llab-quvvatlash
- Data Lake, Data Warehouse va/yoki Lakehouse arxitekturalarini ishlab chiqish va takomillashtirishga hissa qo'shish
- Axborotni qayta ishlash va tahlil qilish uchun ma'lumotlar modellarini loyihalash va optimallashtirish
- Jarayonlar va joylashtirishlarni CI/CD hamda Infrastructure as Code amaliyotlari orqali, afzalroq Terraform yordamida avtomatlashtirish
- Ma'lumotlar sifati, yaxlitligi, kuzatuvchanligi va mavjudligini nazorat qilish mexanizmlarini yaratish
- Samaradorlik, kengaytiriluvchanlik va resurslardan oqilona foydalanish uchun konveyerlar, so'rovlar va jarayonlarni optimallashtirish
- Bulutli ma'lumotlar platformalarini ko'chirish va modernizatsiya qilish tashabbuslariga hissa qo'shish
- Arxitektura, Data Science, BI, ishlab chiqish va biznes jamoalari bilan hamkorlik qilish
- Joriy etilgan arxitekturalar, konveyerlar, modellar va yechimlarni hujjatlashtirish
- Jamoaga texnik yordam ko'rsatish va ma'lumotlar muhandisligining ilg'or amaliyotlarini rivojlantirish
Talablar
- Google Cloud Platform (GCP) bo'yicha bilim
- BigQuery, Cloud Storage, Dataflow va/yoki Dataproc, Pub/Sub, Python, ilg'or SQL va Apache Spark yoki PySpark bilan tajriba yoki bilim
- ETL va ELT konveyerlarini ishlab chiqish tajribasi
- Ma'lumotlarni modellashtirish va o'zgartirish bo'yicha bilim
- Orkestratsiya uchun Airflow yoki Cloud Composer bo'yicha bilim
- dbt va/yoki Dataform, Terraform, Git va CI/CD jarayonlari bo'yicha bilim ma'qul
- Data Lake, Data Warehouse va/yoki Lakehouse arxitekturalari bo'yicha bilim
- Hadoop va/yoki Kafka bo'yicha bilim
- Relyatsion va NoSQL ma'lumotlar bazalari bo'yicha bilim
- Machine Learning va/yoki Vertex AI bo'yicha bilim
- Ma'lumotlarni boshqarish va sifati bo'yicha bilim
Imtiyozlar
- Muayyan imtiyozlar ko'rsatilmagan; Stefanini imtiyozlari bo'limi qo'shimcha tafsilotlarsiz mavjud
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