The Data Engineer will play a key role in the continued development and modernization of the organizations data environment, with a focus on creating a clean, reliable, and scalable data foundation for reporting, analytics, and future AI and automation initiatives.
Compensation
The pay range for this position is $60.00 - $67.00/hr.
Responsibilities
Design, develop, and enhance data processes used to collect, transform, organize, and deliver large volumes of business and project data across the organization.
Use SQL extensively to develop, optimize, and troubleshoot complex data transformations that support reporting and analytics.
Build, maintain, and improve VertiPaq semantic models to provide a robust foundation for business intelligence and self-service analytics.
Develop and refine DAX calculations to support business metrics, reporting requirements, and analytical use cases.
Collaborate with stakeholders to understand existing methodologies and workflows and translate them into efficient, scalable data solutions.
Work with SDEs/other DEs and Applied scientists to invent, design and build data solutions that will have significant impact across vendors doing business with Amazon and all Amazonian building software solutions.
Compensation
The base salary range for this position is listed below... USA, TX, Austin - 101,300.00 - 160,000.00 USD annually
Responsibilities
Design, implement, and support a platform providing secured access to large datasets.
Architect, develop and maintain end to end scalable data infrastructure and data pipelines
Develop the teams' data strategy and technical road map of data storage & pipelines design and implementation
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting and AWS big data technologies.
Designing and implementing complex ETL pipelines and other BI solutions.
The Data Engineer will help build a global, cloud-based platform to collect and process real-time data from manufacturing lines and machines, supporting Industry 4.0 solutions.
Locations (2)
Brno, South Moravian, Czech Republic
Nová Ves, South Moravian, Czech Republic
Compensation
Attractive salary starting from 80 000 CZK based on your experience plus yearly bonus
Responsibilities
Maintain and optimize ETL and data pipelines in Azure Databricks using PySpark, SparkSQL, and Data Lake
Design and implement new data pipelines and workflows for real-time and batch manufacturing data
Ensure data quality, performance, and stability across the cloud data platform
Support and enhance Power BI dashboards used by manufacturing and business teams
Maintain and troubleshoot SAP/IDOC integrations and related data flows
