| Data Modeler at Remote, Remote, USA |
| Email: [email protected] |
| From: Naveen, 3ktechnologies [email protected] Reply to: [email protected] Job Title/Role: Data Modeler Job Location: New Jersey, USA, Remote Project Duration: 6-8 Months Mandatory Skills: Erwin, EXP in the life sciences industry Job Description:- Responsibilities:- Data Modeling: Design, implement, and document data architecture and data modeling solutions, including relational, dimensional, and NoSQL databases. Collaboration: Work with business analysts, data architects, and other stakeholders to understand business requirements and translate them into data models. Data Integration: Integrate data from various sources and ensure data consistency and accuracy. Performance Optimization: Optimize data models for performance and scalability. Standards and Best Practices: Define and enforce data modeling standards and best practices. Documentation: Create and maintain comprehensive documentation for data models and data flows. Requirements:- Experience: 3-5 years of experience in data modeling, with a strong understanding of relational, dimensional, and NoSQL databases. Technical Skills: Proficiency in data modeling tools (e.g., ER Studio, ERwin), SQL, and data integration techniques. Analytical Skills: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Preferred Qualifications- Advanced Skills: Experience with big data platforms and data warehousing. Certifications: Relevant certifications in data modeling or data management. Industry Knowledge: Familiarity with the specific industry (e.g., finance, healthcare) where data modeling will be applied. (1.) To be responsible for providing technical guidance or solutions ;define, advocate, and implement best practices and coding standards for the team. (2.) To develop and guide the team members in enhancing their technical capabilities and increasing productivity (3.) To ensure process compliance in the assigned module, and participate in technical discussions or review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations). (4.) To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations. Keywords: Data Modeler [email protected] |
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| Wed Oct 02 02:13:00 UTC 2024 |