| Data Warehouse Architect (Hybrid Onsite) at Remote, Remote, USA |
| Email: [email protected] |
| From: Sameer, GSK SOLUTONS INC [email protected] Reply to: [email protected] Job Title: Data Warehouse Architect (Hybrid Onsite - Onsite Interview - Locals Only) Location: Dimondale, MI Duration: 12 Months+ Client: State of Michigan Note: ( candidates must be able to attend an in-person interview) Job Description of work: Translate business requirements and models into feasible and acceptable data warehouse designs. Provide support to all data warehouse initiatives. Define all metadata standards for the data warehouse. Develop data warehousing hardware and software platforms and integrate systems to ensure that integration is effective and meets client specifications. Prepare a design for all metadata relating to various Extract/Transform/Load (ETL) processes. Create ETL designs to provide easy accession to data marts. Conduct troubleshooting on all ETL processes and effectively resolve any issues. Analyze every data warehouse architecture goal and identify what skill requirements they require. Evaluate all proposals and requests and help implement the chosen items that will improve the data warehouse structure. Assist in the definition, documentation, and development of mapping rules for movement of data from desperate data sources and into the various components and subject areas. Create data models including robust data definitions, entity-relationship-attribute models, as well as relational and/or dimensional models. A good understanding of the design and development of complex business reports. Design and oversee the implementation of data transformation and change processing procedures to ensure that data from multiple sources is aggregated, normalize, and update and then publish to multiple target environments. Provide hands-on data modeling (relational and dimensional) for Data Warehouse/Data Marts Test and monitor alterations in designs. Create database models which serve as blueprints for project engagements of all complexities. Must be familiar with DevOps best practices and automation of processes like building, configuration, deployment, documentation, testing, and monitoring. Requirements: Experience in Data Modeling and desigining Datawarehouse databases,Required 10+ years. Experience in developing ETL models. Required 5+ years Experience in Data Replication using tools like Oracle Golden Gate, 5+ years. Experience in Oracle Database administration, PL/SQL, packages, security, and stored procedures, Required 12+ years. Knowledge in design, development, implementation, and documentation of data systems Working knowledge of relational database design, logical data modeling, data warehousing, and relational database management systems preferably Oracle 19c, Experience in performance tuning, Required 10+ years. Vast experience in LINUX systems, Required 10+ years. Extensive working experience in RAC environments, Required 10+ years. Experience using Oracle Data Guard / Fast Start Failover, Required 5+ years. Database programming experience in data migration and conversion practices, Required 8+ years Writing Oracle packages, procedures, and functions, Required 10+ years Designing, creating, normalizing and maintenance of oracle database objects, Required 10+ years. Designing logical and physical database model, Required 10+ years Data analysis and management, Required 10+ years Keywords: procedural language Michigan |
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| Fri Nov 03 21:51:00 UTC 2023 |