Join the IT community of IT enthusiasts, based in Prague, a start-up mindset and become part of an international team with unlimited opportunities. As a Data Engineer and be indispensable part of the team working on a new AI application with Azure and GPT.
The application will be a virtual assistant that will help our sales and support agents to deliver exceptional service to our customers. The virtual assistant will use natural language processing and deep learning to provide smart recommendations and action items based on the interaction between the client and the end user. Some of the features of the virtual assistant include:
Creating memos
Providing feedback to the agent
Booking next appointments
And many more...
What will you do
Retrieve data from client’s data sources, clean the data and make it available to the data-scientists
Know and understand the ''common data model'' and implement the data model in the BUs on use-case basis
Map the data flow from different data sources and pushe clean data to a DB/DWH on Cloud (Azure) in accordance with common data model
Set up monitors for data quality and availability per use-case on BU side
Support data scientists during data preparation stage with data transformation and code optimization
Know the way around in client’s data-landscape and to be able to connect to most important data-related people to get things done
Develop and maintain the data infrastructure and architecture for the DS Hub
Create and maintain documentation related to his / her work
Requirements
Knowledge of the most common data management and extraction tools and code (e.g. SQL/python/SSIS) and experience in setting up and maintaining an SQL DB/DW in MS Azure
Experience in extracting different types of data sources (structured, semi structured, unstructured and streaming data)
Ability to design efficient data exchange architecture and processes and ability to build advanced database structures, datamarts and reports
Knowledge of Databricks and PySpark - knowledge how to use them to develop and deploy data analytical solutions.
Familiarity with data engineering frameworks and tools such as Apache Spark, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, etc.
Ability to connect to fully technical people a well as business people
Knows GDPR regulation
Benefits
Be a part of the newly built international team
Home office, 5 weeks of vacation, and 5 annual sick days
3% employer supplemental pension monthly contribution
Unlimited budget for your education (hard and soft skills, Language courses)
Meal contribution, Cafeteria program, monthly home office allowance
Multisport card, partnership with various companies (Makro, Datart, Sony, Electrolux…)
iPhone, personal Office 365 License, O2 Family discounts
Volunteering days to support our community
Employee referral bonuses to encourage the addition of great new people to the team
