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}, .hero-image {opacity: 1;}"}, "custom_html": {"page-footer": "<b>Magnit Direct Sourcing</b> powered by Magnit Global & eightfold.ai</a> </p>", "page-footer-text": "powered By"}, "hideJobCart": false, "recaptcha_enabled": 0}, "positions": [{"id": 137453905381, "name": "Sales Development Representative I", "location": "Tampa, Florida, US ", "locations": ["Tampa, Florida, US "], "hot": 1, "department": "Administrative", "business_unit": "Inovalon", "t_update": null, "t_create": 1672937804, "ats_job_id": "17984829", "display_job_id": "17984829", "type": "ATS", "id_locale": "17984829-en", "job_description": "Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and Strong presentation phone skills Good analytical skills Ability to set and manage multiple priorities Strong project management/organizational skills and exceptional attention to detail Proficiency with MS Office and other software applications Experience with Salesforce.com or similar CRM product preferred Ability to build team unity, working with a cross-functional and diverse groups Bachelor's degree, or equivalent combination of education and experience in a directly related field Minimum 2-3 years of sales or tele sales experience Pay Transparency: The pay range that Magnit reasonably expects to pay for this position: Pay rate: $18 - $20/hour + Commission 3+ months (Contract to Hire!)", "stars": 0.0, "medallionProgram": null, "is_global": false}, {"id": 137454035915, "name": "Mongo DB Data Architect", "location": "remote", "locations": ["remote"], "hot": 0, "department": "IT/Technology", "business_unit": "Inovalon", "t_update": 1675185868, "t_create": 1674850772, "ats_job_id": "18228943", "display_job_id": "18228943", "type": "ATS", "id_locale": "18228943-en", "job_description": "Strong analytical and problem-solving abilities Ability to configure schema and MongoDB data modelling Experience in Database design, administration, and security management Knowledge of MongoDB administration, installation, troubleshooting in AWS and Linux environments In-depth understanding of MongoDB architecture Meeting with business users & stake holders to capture and analyze requirements for data supporting transactional, analytics and reporting needs; Responsible for data modeling, system/data analysis, design and development for Applications, data marts & semantic layer to support analytics and reporting needs; Build conceptual/logical/physical data models using concepts like star-schema modeling, snowflake schema modeling, fact and dimension tables; Develop ETL processes and assist other ETL developers in populating the data from the transactional system to the data marts to for easy analytics & reporting; Implement slowly changing dimensions as well as transaction, accumulating snapshot, and periodic snapshot fact tables; Assess technological options and design offerings supporting scalable, high-performance, and highly available environments; Create and maintain documentation deliverables including, but not limited to process models, architecture diagrams, data models, data flow diagrams, metadata, glossaries, data dictionary, entity relationship diagrams, data mapping documents, BUS matrix and other data design artifacts that define technical data specifications and transformation rules; Ensure teams follow best practices regarding coding standards, code reviews, and testing (including unit, integration, and system test); Partner with Engineers and architects to ensure developed solutions adhere to established best patterns and our architectural target state; Develop principles, strategies and frameworks on data governance and data management. Strong background in Data Modeling, Data Management, PL/SQL, ETL Processes and Database Performance Practices Experience working with Microservices and commercial cloud data platforms. At least 2 years of experience with Health Plan data models; 6+ years of overall experience in IT. Experience with databases in Commercial cloud (GCP, Azure, AWS), Oracle, PostgreSQL and Snowflake is preferred. 4+ years of experience in logical & physical modeling (designing dimensional data models/facts/slowly changing dimensions from scratch); 4+ years' experience in data warehouse design/maintenance; 2+ years' experience with Informatica IICS; Strong working knowledge of data modeling, data warehousing, metadata management, database design and development, ETL processes, semantic layer development and preferably visualization tools (e.g. Tableau); Technical proficiency with good interpersonal, problem solving and documentation skills; Ability to work both independently and in a team environment; Ability to work under tight deadline and fast paced environment; Experience working on an Agile SCRUM team is a plus. 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