| Data Architect 15+ Years : REMOTE : No H1B at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=859647&uid= From: Sam Young, Swastik IT Services [email protected] Reply to: [email protected] a Data Architect, preferably in NY state but this is not required. The client needs candidates by tomorrow. 100% REMOTE CONTRACT for 3 years. There will be an option for an additional 2 years Visa: No H1B There are many details in the req below, but there are two non-negotiables: Impressive track record with over 10 years of extensive experience in the higher education sector. 15-year tenure as a seasoned Data Architect. In addition to extensive experience in the higher education sector, the Data Architect should have the following qualifications: Deep proficiency in data warehousing technologies and data integration pipelines using both ELT and ETL processes Experience with data modeling, including schema design, data models, data flow diagrams, data dictionaries and metadata repositories Experience designing and building complex data solutions using both SQL and non- SQL databases Experience with Application Programming Interface (API) for custom workflows, microservices, and integration Familiarity with Data Hub, Data Lakehouse, Data Fabric, and Data Mesh concepts and hybrid (on premises + cloud) data infrastructures Knowledge with data science, machine learning, and statistical analysis techniques to build predictive models, perform advanced analytics, and derive actionable insights from data Experience and knowledge building Data Catalogs and Data Marts Strong programming skills in languages such as Python, R, or Scala as well as Java Experience collaborating with cross-functional teams to define data standards, guidelines, and best practices Knowledge of data governance, data security, and compliance standards. Creative problem-solving skills and strong analytical abilities Excellent communication skills with the ability to convey complex, technical information in an understandable manner Ability to logically troubleshoot issues, determine root causes, and present suggested solutions clearly and concisely Familiarity with data visualization tools (e.g., Tableau, Power BI), and data pipelines that incorporate them Familiarity with AI capabilities across various LLMs and some experience in integration of Data Hub/Lake with AI tools. Regards, Sam Young, Manager-Sales, (Best way to reach me is Email.) :[email protected] Keywords: artificial intelligence business intelligence rlang information technology New York http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=859647&uid= |
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| 12:07 AM 16-Nov-23 |