Data Modeller

• Company Nexperia
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

What You Will Do
 

• Build Data Model for the organization. This will involve multiple business areas.
• Identify relations with entities, understand the business aspects of the data and build a data model for consumption. Ability to understand SAP and other manufacturing source data and build data mapping from data to load into a centralized data model.
• Build logic to load the data into data marts and data visualization business model. Ability to guide team to build business models in data
• Identify relationship between entities and how we could combine data models
• Querying data to understand data relations, identifying issues with data, build logic to filter data issues and also work on data quality enhancements
• Develop designs of reports/self service models. Conversant in solutions on Tibco ComputeDB,SAP HANA & BW. Tibco Spotfire(expertise on performance tuning). Design implementation models in such tools.
• Knowledge of functional elements in Manufacturing & Finance. Knowledge of industry available data models like IBM is an added advantage
• Deep understanding of Data Lake structures - DaaS, optimized performances in Data Lakes. Concepts of Standardization of solutions, Mastering of data. Core concepts of MDM.
• Use of concepts and tools in Data Cataloguing, Data Profiling , Data Meshes & Data Wrangling. Ability to weigh solution options and suggest an outcome based judgement.
• Build solutions in Data Virtualization specially on tools like Tibco Data Virtualization. Knowhow of AI/ML concepts and tools are good to have additions.
   

What You Will Need
 

• Bachelor Degree - in Computer Science, IT, Business or any related discipline.
• Agile Professional Certification – preferred.
• Should have worked in large transformation projects, ability to handle data modelling teams and be a self-motivated leader.
• Possess a certification in Spark or possess a certification in data modelling or both
• Have strong skills in data modelling and dimensional modelling