InterLogic is a Danish owned IT-company in Ukraine, that provides outsourcing of programming and has already 17 years of experience. 25% of employees work for more than 5 years. While 30% have joined us previous year and they have everything ahead.
18 октября 2021

Middle/Senior Big Data Engineer (id 248) (вакансия неактивна)

Львов, Ужгород, Хмельницкий, удаленно

We are looking for a technically strong engineer with interest in developing Product together with an experienced Team located in Lviv and Copenhagen.

If you are open for new challenges and would like to apply your knowledge and experience in creating world-class software — we have a great offer for you!

The mission of the data team is to build an innovative cloud data platform for the retail industry to transform the shopping experience with data-driven solutions on a large scale using Azure stack (Azure Synapse Analytics)

If you want to take a part of building modern big data and data warehouse solution, then consider joining our data team!

Responsibilities

  • Design data model and develop integration and data processing ETL\ELT pipelines to feed data lake and large-scale data warehouse
  • Design and implement pipelines to detect anomalies in data quality
  • Work with industry experts to develop and support analytical and AI solutions
  • Design data platform microservice architecture

Requirements

  • 2+ years of relevant industry experience
  • Strong knowledge of SQL and data munging techniques
  • Proven experience in Big-Data architecture
  • Hands-on experience designing and deploying production systems with reliable monitoring and logging practices
  • Understand best practices in data quality and quality engineering
  • Strong analytic skills related to working with structured and unstructured datasets
  • Experience in Software Engineering with at least one of Python / Scala / Java / .Net
  • Good written and spoken English level

Would be a plus

  • Experience with Azure stack (in particular: Databricks, DataFactory, Delta Lake)
  • Experience with spark batch and structured streaming
  • Experience with data mining and anomaly detection techniques
  • Knowledge of retail domain

We offer you

  • Great team spirit and friendly colleagues
  • Long-term employment
  • 20 days of paid vacations
  • 90 days of fully paid sick leaves
  • Regular team buildings
  • Office in the city center with a park area around
  • No bureaucracy
  • Free accounting services
  • Free English courses