Data Engineer
Company Name:-
Siemens
Job Location:-
Tarrytown, NY 10591
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionDevelop and maintain a state-of-the-art data management environment to enable innovative Marketing and Sales analytics for Siemens Healthineers.
Design, build, optimize, monitor, and manage complex data flows.
Successfully collaborate with global stakeholders from the Siemens Healthineers sales and CRM community.
Collaborate with internal and external IT and business partners on establishing and managing data interfaces to operative IT systems.
Define and establish data marts for global analytics use cases.
Establish a data quality framework and support our data catalog initiative with the goal to ensure high quality sales and Marketing and Sales data.
Support stakeholders across the world to build impactful descriptive, predictive, and prescriptive analytics use cases.
Essential Job Functions:
Build meaningful business data marts by transforming data from technical data lake layer into business friendly KPIs and data marts
Collaborate with various stakeholder by translating business requirements into data pipeline designs and implement those
Build and manage best in class data marts by understanding, transforming, and managing complex data structures
Manage, monitor and optimize data pipelines and build highly efficient and automated data lineage for analytics use cases
Manage and collaborate with internal and external stakeholders such as IT vendors and local sales organizations
Support implementing & innovating tools and techniques in data management, data catalogue and data quality management
Design, build and integrate data pipelines for machine learning and advanced analytics use cases
Successfully collaborate on eye level with stakeholders in Marketing and Sales and other cross domain (e.
g.
Supply Chain, Customer Service, Pricing Excellence
Critical Competencies:
Proficiency in designing, managing, monitoring, and administrating data pipelines and data structures
Hands-on experience and appreciation working with low code environments in data management (e.
g.
KNIME, Alteryx, SAS)
Ability to translate complex problems into simple technical solutions
Ability to abstract data problems into re-usable components/modules
Lifetime willingness to learn and explore n
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