Data Engineer (Hybrid)

Job Description
Position Objective:
Develop and maintain data sources to support Business Intelligence reporting and analysis requirements for Eurofins laboratories across the Globe.
Position Responsibilites:
Develop new and improve existing ETL processes to load data into tabular models, data warehouses and other data structures as best fit for solving business requirements for reporting and further data analysis including machine learning.
Collaborate with business analyst and stakeholders to understand data requirements and translate them into technical solutions.
Analyze existing data processing to identify and implement improved methods for preparing data.
Design and implement reports in PowerBI.
Investigate approaches for moving data processing to cloud-native (Azure) tools &
technologies.
Implement data security measures to protect sensitive data.
Optimize data platforms for performance and cost efficiency.
Monitor and troubleshoot issues as they arise.
Code review other team members work, providing constructive feedback and identifying potential bugs and gaps in design &
implementation.
Partner with other team members for ensuring the accuracy, completeness, and consistency of the data.
Create &
maintain documentation on design and intent of data processes and data structures
Provide recommendations to software application teams on potential changes to data structures to address performance issues or improve processing abilities
Continuously enhancing knowledge and skills, staying updated on data architecture and cloud technology.
Evaluate, recommend and implement new technologies and tools to enhance data architecture and management processes.
Build and maintain development and test systems.
CURRENT TECHNOLOGY TOOLSET:
Databases:
Microsoft SQL Server 2019+, Azure SQL, CosmosDB, Oracle
SSAS Tabular Models
PowerBI (PowerBI Reports and Paginated Reports)/Microsoft Fabric
SSRS
SSIS
GIT
Azure DevOps
PowerShell
Microsoft Azure
Microsoft Windows