Data Modeler (mid-level)

Spruce InfoTech is the leading service provider in the fields of project management, architecture design, installation, implementation, and administration of EPM and BI projects. Our team of experts provide proven industry solutions that help our clients have a better understanding of the business and aid in decision-making. We provide our clients with various services that help them manage, control, and transform their businesses by employing new age technology solutions that are cost-effective and productive in nature. Our team members have extensive experience in different types of enterprise solutions like Oracle Enterprise Performance Management (aka Hyperion), OBIEE, and TIBCO. Job Description

Title:

Data Modeler (mid-level) Duration:

1 year + Interview mode:

phone then F2F Description:

Required Skills: Minimum 3-5+ years’ experience modeling complex databases using 3rd party modeling tools such as ERWin 9.2. Experience designing and building large financial services data warehouses with very strong data analysis skills. Good knowledge of ER/Dimensional modeling and extensive experience in developing logical and physical data models in complex, multi-application environments. 3-5+ years of hands-on experience in data management, data warehousing, data transformation, metadata and reference data management, and business intelligence tools. 3+ years of experience with advanced SQL query techniques using TOAD, SQL Navigator. Basic UNIX knowledge would be a plus. Previous experience as a hands-on Oracle DBA of large databases is a plus. Good understanding of leading 3rd party products in the relevant areas (e.g., Datastage, Business Objects, Microstrategy). Significant experience with the System Development Life Cycle (SDLC). Responsibilities: Capture business requirements and rules, design the associated logical models, and create all required documentation to support, communicate, and validate the data model. Design, build and maintain the logical and physical data models to support the business requirements in a dynamic, expanding business environment. Map data elements of data sources into the domain data models. Maintain documentation of data models, including relationships, constraints, and metadata. Publish and conduct model reviews with business and technical project teams. Review database design changes with the team to determine the impact on the physical database and other systems. Coordinate with the development/implementation team to improve model formats and approaches regarding implementation issues. Participate in performance tuning activities including partitioning strategies, indexing strategies, and SQL optimization. Architect with an eye toward high performance, scalability, and high availability. Qualifications

Need to be local to Wilmington, Delaware (DE).

#J-18808-Ljbffr