| #Urgent- Data Modeler- Detroit,MI at Detroit, Michigan, USA |
| Email: [email protected] |
| From: Adithya Rangaraju, kksoftware associates [email protected] Reply to: [email protected] Hi, Greetings from KK Software Associates. This is Adithya. R from KK Software Associates. I have an urgent requirement of Data Modeler, please go through the below requirement and forward me your updated resume with contact details ASAP. Title: Data Modeler Location: Detroit, MI Duration: +12 Months Experience: 4-6yrs Note: Please do not submit OPT, CPT & H4 Job Description: Experience: 12+ years of experience with 6+ years of relevant experience. Below is the list of responsibilities for this role. Data Modelling: Developing and maintaining conceptual, logical, and physical data models that represent the organizations data assets and their relationships. This involves understanding business requirements and translating them into data structures that support those needs. Data Governance: Establishing data governance policies, standards, and procedures to ensure data quality, integrity, security, and compliance with regulatory requirements. This includes defining data ownership, access controls, and data lifecycle management processes. Database Design and Management: Designing and implementing database systems to efficiently store, retrieve, and manipulate data. This may involve selecting appropriate database technologies, optimizing data structures and queries for performance, and ensuring scalability and availability. Data Integration: Developing strategies and mechanisms for integrating data from disparate sources across the organization, including databases, applications, and external data feeds. This often involves designing data pipelines, ETL (Extract, Transform, Load) processes, and data synchronization mechanisms. Data Architecture Planning: Collaborating with stakeholders to develop a long-term data architecture strategy aligned with the organizations goals and objectives. This may involve assessing current data infrastructure, identifying areas for improvement, and planning for future data needs. Metadata Management: Establishing and maintaining metadata repositories that document the structure, semantics, and lineage of data assets within the organization. This helps users understand the meaning and context of data, facilitates data discovery and reuse, and supports data governance efforts. Data Security and Privacy: Implementing security measures to protect sensitive data from unauthorized access, theft, or loss. This includes encrypting data at rest and in transit, implementing access controls and auditing mechanisms, and ensuring compliance with data privacy regulations such as GDPR or HIPAA. Collaboration and Communication: Working closely with business stakeholders, data analysts, data scientists, and IT teams to understand their requirements, priorities, and constraints. Effective communication and collaboration are essential for ensuring that the data architecture meets the needs of the organization and its users. Overall, the role of a data architect is crucial for ensuring that an organizations data assets are effectively managed, integrated, secured, and leveraged to drive business value and competitive advantage. Competencies: Data Concepts & Data Modelling, Digital: Data Governance Keywords: rlang information technology golang Michigan |
| [email protected] View all |
| Mon Mar 11 23:23:00 UTC 2024 |