Position: Big Data Engineer
Company: Interlogic
Experience required: 2y
English level: intermediate

We are looking for 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 word-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 Databricks, DataFactory, DataLake, DeltaLake, Azure DW) 

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**
- Great team spirit and friendly colleagues
- Long-term employment
- 20 days of paid vacation
- 90 sick leaves
- Regular team buildings
- Office in the city center with a park area around
- No bureaucracy
- Free accounting services
- Free English courses