As Data Engineer you'll be working with alongside data architects to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization. You will be creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs.
You seek to grow your expertise in the different infrastructures, tools and applications, and stages of advanced analytic workflows. You are inventive and passionate about streamlining and automating data acquisition and possess a highly structured approach to problem solving.
You will be the go-to person for end-to-end data handling, management and analytics processes.
We are establishing brand new Data Analytics team for global range customer from retail area.
In essence, client is leveraging the Azure PaaS platform with all kind of (business) data to build an advanced analytics platform aiming at delivering better insights and applications to the business.
The platforms are continuously being enhanced to support (additional) CI/CD and validated learning environment for science, machine learning and AI capabilities for all areas customer-facing like digital omni-channel interaction and commerce, commerce relevance, personalisation, loyalty and marketing and non-customer-facing like assortment optimization, supply chain optimization, external parties and IoT.
We will be working on end to end functionality including architecture, data preparation, processing and consumption by systems.
Essential Experience Required:
Luxoft - Leading Central and Eastern European IT Service Provider. Learn more about Luxoft at www.luxoft.com