Responsible for designing, developing and supporting Extract, Transform, and Load (ETL) solutions for a large Data Warehouse environment. Analyzes data requirements, application and processing architectures, data dictionaries, and database schema(s), and then designs, develops, amends, and optimizes ETL solutions to meet data requirements and delivery timelines. Develops warehousing ETL solutions across UNIX platform environments and Oracle DBMS using Structured Query Language (SQL) and SHELL scripting.
WORK EXPERIENCE GUIDELINES
- 6 or more years of IT work experience in Data Warehouse ETL development and support and relevant computing environments.
- In-depth technical and business knowledge in multiple disciplines/processes.
- Bachelor's or Master's Degree in Computer Science, Information Systems or other related discipline. Or equivalent work experience.
Advanced professional level role. Strong analytical skills required. Designs and supports varied Data Warehouse ETL solutions of medium to high complexity performed within a broad technical and business context. Defines and discerns key aspects of problems that require analysis and research, and develops a solution within a broad technical and business context of significant impact. Works on small to large, varied, and complex projects that require increased skill in multiple technical environments and possesses knowledge in a specific business area. Works on one or more projects as a project team member. Provides production on-call support on a rotating basis. Effective verbal and written communication skills for both technical and non-technical audience. May coach and/or mentor more junior technical staff.
Lender Processing Services - 14 months ago
Lender Processing Services, Inc. (LPS) is the leading provider of mortgage and consumer loan processing services, mortgage settlement...