Project Overview:

With great experience come great projects. Just imagine: you can develop a product that should completely change the business of one of the world's largest companies! 

Our client is an innovative global company from the Fortune 500. Consumer Goods Producer and Retailer with headquarters in Switzerland that sells its products in 130 countries. Intellias mission is to support its strategy and efforts in the Digital and eCommerce space. 

A newly conceptualized Digital Eco System is comprised of set of capabilities including online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services. 

We enable digital native business cases by empowering marketers and data scientists to get the best out of consumer data, helping them serve relevant and targeted messages to consumers across the world. Our goal is to facilitate, with rich data, a clear 360 degree view of every consumer, so that our business teams can provide the best possible service to them. Continuous improvement and engineering excellence is at the core of everything we do, when delivering on our business objectives.

Юлія Дударчук
  • Our data engineering team is responsible for building and operating data pipelines for the ingest of data from our global markets. The data engineers collaborate with our data scientists on creating machine learning models to generate business insights from our global data pool.
  • 2 years of experience building data Pipelines with Python;
  • 3 years of experience with SQL - database design, big data query, and query optimization;
  • Professional experience with data quality pipelines, REST APIs and API Management solutions;
  • Proficient understanding of code versioning tools such as Git, Mercurial or SVN;
  • Ability to participate in 24/7 On-Call support (one week per month).
Nice to have:
  • Professional experience in building data pipelines in Treasure Data;
  • Professional experience in the DigDag framework/Presto Framework;
  • Experience in Databricks;
  • Experience in Apache Airflow.


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