GSSR Inc
Job Description
Job Description
Evaluates and leads the selection of new data management components, in partnership with IT and other key stakeholders, to integrate into the existing ecosystem including software, platforms, databases, ETL tools, data modeling tools, visualization and reporting tools, advanced analytics tools, data science platforms and tools, etc.
Partners with Enterprise Architecture, Infrastructure, and AppDev teams on capabilities, technologies, vendors, roadmaps, and solutioning
Implements capabilities data ingestion, transformation, integration, curation, publishing, analysis and visualization of structured, semi-structured, and unstructured data
Designs, enhances, and maintains conceptual and logical data models and data flows for the enterprise
Defines, develops and institutes robust, quality processes to implement data changes and database modifications
Functions as architect in SAFe Agile scrum teams working on data projects and products
Facilitates and supports feasibility studies, proof of concepts, pilot projects and testing
Oversees the design of data solutions by 3rd party vendors when appropriate, in partnership with AppDev teams
This list is not all-inclusive and you are expected to perform other duties as requested or assigned
Skills / Experience :
Extensive hands-on experience in designing and building end-to-end data processing platforms using known technologies and cloud platforms
Proven expertise in designing and developing data models for the insurance and healthcare industries.
Expertise in gathering requirements from business users / stakeholders and effectively translating them into robust data models
Knowledgeable about the current landscape of data warehouse and data lake solutions. Able to evaluate competing data solutions and select the best option for data ingestion, storage, reporting, visualization, analytics, microservices, and APIs given the current and future needs of the organization
Desired skills : Experience in leading the development and delivery of data warehouse, data management, Big Data, and data integration solutions
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Job Description
Evaluates and leads the selection of new data management components, in partnership with IT and other key stakeholders, to integrate into the existing ecosystem including software, platforms, databases, ETL tools, data modeling tools, visualization and reporting tools, advanced analytics tools, data science platforms and tools, etc.
Partners with Enterprise Architecture, Infrastructure, and AppDev teams on capabilities, technologies, vendors, roadmaps, and solutioning
Implements capabilities data ingestion, transformation, integration, curation, publishing, analysis and visualization of structured, semi-structured, and unstructured data
Designs, enhances, and maintains conceptual and logical data models and data flows for the enterprise
Defines, develops and institutes robust, quality processes to implement data changes and database modifications
Functions as architect in SAFe Agile scrum teams working on data projects and products
Facilitates and supports feasibility studies, proof of concepts, pilot projects and testing
Oversees the design of data solutions by 3rd party vendors when appropriate, in partnership with AppDev teams
This list is not all-inclusive and you are expected to perform other duties as requested or assigned
Skills / Experience :
Extensive hands-on experience in designing and building end-to-end data processing platforms using known technologies and cloud platforms
Proven expertise in designing and developing data models for the insurance and healthcare industries.
Expertise in gathering requirements from business users / stakeholders and effectively translating them into robust data models
Knowledgeable about the current landscape of data warehouse and data lake solutions. Able to evaluate competing data solutions and select the best option for data ingestion, storage, reporting, visualization, analytics, microservices, and APIs given the current and future needs of the organization
Desired skills : Experience in leading the development and delivery of data warehouse, data management, Big Data, and data integration solutions
#J-18808-Ljbffr