Our client is Siemens Healthineers, a leading global medical technology company with more than 55,000 dedicated colleagues in over 70 countries, driven to shape the future of healthcare.
Siemens Healthineers is looking for a talented and motivated individual to serve as a Data Engineer within our IT Digital Customer Experience Marketing and Sales Master data team. The right candidate will work with the industry’s latest CRM, ERP and database technologies in support of a highly focused and entrepreneurial department leading change, driving growth and supporting key business services. The individual will contribute to the overall objectives of the department and will be a hands-on technical resource to a variety of cross-functional teams and global project initiatives. The candidate should have a solid background in key technologies with a focus on data management, data integration, system design and implementation. The ideal candidate will be inspired by technology and its use in an ever changing, fast paced environment.
This position will strongly collaborate with the existing Data Cloud team as well as support sustainability and scalability of existing potential practices in the business.
Key Responsibilities:
Design, develop, implement and document data ingestion all ETL processes.
Construct a scalable data architecture utilizing both existing and new data sources.
Maintain database performance by creating automated components to monitor server health, logs, backups and recovery.
Help architect an agnostic semantic data layer which will drive key business initiatives.
Perform data profiling to understand data domains, validation rules, data dependencies and lineage.
Participate in code and design reviews.
Data Vault 2
Required Qualifications:
Well-versed in relational database design.
Exceptional knowledge of T-SQL and Microsoft SQL Server (2012 and up).
Proficiency in database management and administration.
Experience with processing and managing large data sets (multi TB scale).
Preferred experience or knowledge of Data Vault 2.
BS/MS degree in Data Science, Computer Science, Engineering, Applied Math or related field.
Desired Qualifications:
Experience with Microsoft SQL Server Integration Services (SSIS) or similar ETL tools.
Experience incorporating cloud technologies (Azure, AWS).
Experience with EDW practices such as slowly changing dimensions and agnostic layers.
Experience with Python or other scripting languages.
Experience with data viz platforms such as PowerBI and QlikSense.
Experience in Big Data/NoSQL environments.
