Data architect
Odesa, UA
3 днів тому
source : Just Join IT

Apache Flume (regular)

Apache Flink (regular)

Azure (regular)

Apache Spark (advanced)

Cloud (advanced)

Data modeling (advanced)

Project Description

Our client is Pandora, the most famous jewelry brand in the world. Do you want to be a part of the world’s leading jewelry company while putting your Tech experience into use?

If yes, then we might have an exciting opportunity for you! You will be part of an exciting Core Tech area and work in an international organization of can-do spirited, passionate, and performance-driven people.

We value flexibility and informal working, where you are trusted to deliver and to focus on outcomes, outputs and value delivered.

As a Data Architect, you will be focused on designing and building the next generation of the Pandora Data Analytical Platform.

Responsibilities :

  • Perform data analysis and data modeling;
  • Create the architecture of an analytical platform from scratch;
  • Be an evangelist of integrating the new analytical platform into Pandora systems.
  • Skills Required :

  • Experience in data modeling;
  • Experience with Azure Cloud;
  • Experience with major Big Data technologies and frameworks including but not limited to Apache Spark, Hive, Kafka, Apache Flink, Flume;
  • Strong technical team leading experience;
  • Solid system design skills;
  • Upper-Intermediate or higher level of English.
  • We offer

  • Permanent employment / B2B;
  • Private medical care + dental care / Compensation for insurance up to 500$ per year;
  • Language courses : English and Polish;
  • Paid days off (20 / 26), sick leaves, Public holidays / Paid days off (15), sick leaves (5), Public holidays;
  • Prof. training & courses : compensation up to 70%;
  • Support Sports Teams, Events.
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    Моя електронна адреса
    Клацнувши по кнопці "# кнопка", я даю згоду neuvoo на обробку моїх даних та надсилання сповіщень електронною поштою, як це детально описано в Політиці конфіденційності neuvoo. Я можу будь-коли відкликати свою згоду або скасувати підписку.