The chosen applicant will be tasked with upgrading and maintaining current systems, as well as enhancing our data acquisition and usage processes to accommodate increasing demands.

#LI-DNI

Responsibilities

Maintenance and upgrading of pre-existing data systems
Development of new features for the existing Data Platform
Introduction of changes required to facilitate growing data consumption and acquisition
Resolution of intricate data challenges and conducting root cause analysis in the Generated Business Record (Gold layer)
Participation in executing new demands from Data Consumers or the Platform team
Handling complex datasets, including the development of new datasets from the ground up
Coordinating with senior team members on sophisticated projects, particularly those involving the incorporation of substantial new datasets
Adjusting to new tools and methodologies appearing in the technology landscape
Providing development support for current pipelines to troubleshoot tough data-related issues

Requirements

Minimum 3 years of relevant experience in Data Software Engineering
Proficiency in PySpark
Knowledge of the Azure cloud stack
Expertise in handling large and complex datasets
Capability to collaborate effectively within a team and with various stakeholders
Background in upgrading and maintaining data systems
Understanding of evolving data consumption requirements
Skills in tackling and dissecting complex data issues
Fluent English communication abilities at B2+ level