a:11:{s:7:"resumId";s:3:"337";s:11:"screeningId";s:2:"76";s:11:"candidateId";s:2:"30";s:18:"candidateDetailsId";N;s:17:"interviewValidity";s:19:"2024-04-30 08:33:01";s:19:"interviewAssignDate";s:19:"2024-04-24 08:33:01";s:11:"companyName";s:20:"Element Technologies";s:9:"response1";s:3443:"1. Job Title: Data Modeler
2. Introduction/Overview: No Details Found
3. Roles & Responsibilities: Analyse and understand business needs and requirements to translate them into effective data models, Design and develop conceptual, logical, and physical data models using a variety of modelling techniques and tools, Identifies architectural risks, develops mitigation plans, and ensures adherence to standards and best practices, Document data models clearly and concisely for both technical and non-technical audiences, Develop and implement data quality rules to ensure the accuracy and integrity of data, Implement data strategies, create data flows, and create conceptual data models in collaboration with the development team, Use best practises to create logical and physical data models that will result in excellent data quality and minimal redundancy, Collaborate with data architects and developers to implement data models in production systems, Test and validate data models to ensure they meet functional and performance requirements, Monitor and maintain data models to ensure they are up-to-date and meet the evolving needs of the organization, Stay up to date on the latest data modelling trends and technologies, Build enterprise metadata repository based on the information flow and usage, Leads governance for compliance with the enterprise data model, To achieve the best speed and data consumption balance in the cloud, fine-tune the query and index strategy.
4. Years of Experience: Overall 6+ year’s industry experience, preferably with at least 3+ years of experience in Data Modelling including Data Vault 2.0 modelling methods or the ability to ramp up quickly on the methodology and 4-5 years of hands-on PL/SQL development.
5. Education Qualification: No Details Found
6. Skills/Knowledge: Strong understanding of relational database concepts and design principles, Experienced in data modelling tools such as Erwin, MagicDraw etc., Minimum 3+ years of experience with Data Warehouse modelling techniques such as Inmon, Kimball and Data Vault 2.0 and Dimensional (Star/Snowflake) and in creating Conceptual/Logical/Physical Data Models Certifications are a plus, Experienced in relational databases, OLTP Data Modelling, development, and reporting, including but not limited to the following: Conceptual, logical normalization, 3NF and physical data models, Development of packages, procedures, functions and triggers, Quick learner, self-starter with strong troubleshooting and communication skills, Management consulting experience, Experience working in an Agile environment, Must have data driven mindset, experienced in data analysis and datamining, including advanced SQL knowledge, Advanced experience in analysing data security requirements. Works closely with the security teams to ensure information is treated as a protected, Excellent communication, collaboration, and problem-solving skills, Ability to work independently and as part of a team, Experienced in data classification to allow information assets to be immediately identified and proactively managed, Preferred functional knowledge in RGM and CPG domain, Previous experience working with Nielsen Data.
7. Key Competencies: No Details Found
8. Domain/Industry: No Details Found
9. Employment Type: No Details Found
10. Company Overview: No Details Found
11. Benefits & Opportunities: No Details Found
12. Location & Travel: No Details Found";s:13:"screeningName";s:13:"Data Modeler ";s:14:"candidateEmail";s:30:"kpawar@elementtechnologies.com";s:13:"candidateName";s:0:"";}