| Urgent Requirement for Senior Data Modeler Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Sugam Saurav, Intellicept.inc [email protected] Reply to: [email protected] Job Title/Role Senior Data Modeler Mandatory Skills The Senior Data Modeler is responsible for converting an understanding of key objects and processes in the business into a coherent digital structure, a data model. This data model serves as the information architecture blueprint for systems that create, store, manipulate, retrieve, and display information for various business functions. Key Responsibilities: Employ Entity-Relationship modeling with the intent of producing a design best suited for retrospective analysis of data. Determine the right set of facts and surrounding dimensions suited to perform the desired type of analysis or queries against the data. Analyze existing business system data, data profiling, and source analysis. Key Skills: Expert in Entity-Relationship modeling, with specific expertise in Star/Snowflake Schema modeling. Expert in one or more enterprise-level Modeling tools, IDA, ERWin, ER-Studio, etc. Advanced understanding of data normalization and denormalization techniques. Expert in Metadata management and tools. Advanced experience in Master Data management/systems and Reference Data management/systems. Advanced experience with modeling process creation and implementation. Expert in understanding business needs to translate those needs into an effective model. Skilled in analyzing existing business system data, data profiling and source analysis. Advanced experience with ETL architecture, warehouse implementations and experience with enterprise level ETL tools. Expert in designing and implementing data quality assurance processes to ensure ETL is correctly sourcing, translating and populating data. Advanced understanding of physical database/data-storage principles, including Google Cloud Platform as well as RDBMS used by COTS. Advanced industry experience and understanding of key Healthcare data from EHRs, ERPs, LIS, Patient Portals, Practice Management, MPIs, etc. (Preferred but not mandatory) Expert oral and written communications skills. Strong interpersonal skills including the ability to lead and facilitate discussions with business and technical stakeholders from executive level leadership to daily hands-on contributors. Expert in time-management and self-directed activity. Working Hours: The working hours are primarily based on Central Time Zone, from 8 am to 5 pm. However, there is flexibility depending on the workload and deliverables. Interview Process: The interview process will be conducted through Google Meet and will consist of two rounds, with a possibility of a third round if there is a lot of competition. Each interview will last a minimum of one hour. Training: There will be Environmental Training provided which is Ascension based. Travel: No travel is required for this position. Experience: A minimum of 5 to 7 years of experience is required for this role. This kind of skills take almost a decade to build. Interaction: The role involves interaction with multiple teams within the organization. Location: The position is fully remote. The location is not a big issue as long as the candidate can work in the Central Time Zone. Additional Requirements: Must obtain a Bachelors degree in a technology, technical or computer-science field. 6+ years with experience in the data space. Healthcare experience required. UDMH Data Modeling expertise. IBM InfoSphere experience. Data mapping and analysis. Architecting of data within the model. Detailed JD The Senior Data Modeler is responsible for converting an understanding of key objects and processes in the business into a coherent digital structure, a data model. This data model serves as the information architecture blueprint for systems that create, store, manipulate, retrieve, and display information for various business functions. Key Responsibilities: Employ Entity-Relationship modeling with the intent of producing a design best suited for retrospective analysis of data. Determine the right set of facts and surrounding dimensions suited to perform the desired type of analysis or queries against the data. Analyze existing business system data, data profiling, and source analysis. Key Skills: Expert in Entity-Relationship modeling, with specific expertise in Star/Snowflake Schema modeling. Expert in one or more enterprise-level Modeling tools, IDA, ERWin, ER-Studio, etc. Advanced understanding of data normalization and denormalization techniques. Expert in Metadata management and tools. Advanced experience in Master Data management/systems and Reference Data management/systems. Advanced experience with modeling process creation and implementation. Expert in understanding business needs to translate those needs into an effective model. Skilled in analyzing existing business system data, data profiling and source analysis. Advanced experience with ETL architecture, warehouse implementations and experience with enterprise level ETL tools. Expert in designing and implementing data quality assurance processes to ensure ETL is correctly sourcing, translating and populating data. Advanced understanding of physical database/data-storage principles, including Google Cloud Platform as well as RDBMS used by COTS. Advanced industry experience and understanding of key Healthcare data from EHRs, ERPs, LIS, Patient Portals, Practice Management, MPIs, etc. (Preferred but not mandatory) Expert oral and written communications skills. Strong interpersonal skills including the ability to lead and facilitate discussions with business and technical stakeholders from executive level leadership to daily hands-on contributors. Expert in time-management and self-directed activity. Working Hours: The working hours are primarily based on Central Time Zone, from 8 am to 5 pm. However, there is flexibility depending on the workload and deliverables. Interview Process: The interview process will be conducted through Google Meet and will consist of two rounds, with a possibility of a third round if there is a lot of competition. Each interview will last a minimum of one hour. Training: There will be Environmental Training provided which is Ascension based. Travel: No travel is required for this position. Experience: A minimum of 5 to 7 years of experience is required for this role. This kind of skills take almost a decade to build. Interaction: The role involves interaction with multiple teams within the organization. Location: The position is fully remote. The location is not a big issue as long as the candidate can work in the Central Time Zone. Additional Requirements: Must obtain a Bachelors degree in a technology, technical or computer-science field. 6+ years with experience in the data space. Healthcare experience required. UDMH Data Modeling expertise. IBM InfoSphere experience. Data mapping and analysis. Architecting of data within the model. Keywords: access management Urgent Requirement for Senior Data Modeler Remote [email protected] |
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| Fri Apr 26 23:08:00 UTC 2024 |