• 2 years of experience building data Pipelines with Python
  • 3 years of experience with SQL - database design, big data query, and query optimization
Data Engineer
Project Overview
Our client is the fastest-growing global tobacco manufacturing company. An international corporation with over hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias mission is to support their strategy and efforts in Digital and eCommerce space (eCommerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management etc.)
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 main differences.
Responsibilities
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.
Requirements
Must have
  • 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)

Good to have

  • Professional experience in building data pipelines in Treasure Data
  • Professional experience in the DigDag framework/Presto Framework

Nice to have
  • Experience in DataBrick
  • Experience in Apache Airflow

Location
Kyiv, Lviv, Kharkiv, Odesa, Ivano-Frankivsk or Remote
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Level of seniority
Your CV
Contacts
hrmarketing@intellias.com
Serbia
Novi Sad
Poland
Krakow
Ukraine
Lviv
Kyiv
Odesa
Dnipro
Kharkiv
Ivano-Frankivsk