Candidates from product developing IT companies
Candidates currently working in Service based IT companies need NOT APPLY
Play a lead role in the architecture, design, implementation and deployment of extremely large scale, critical, and complex data structures for business intelligence analysis taking into account the long term impact and performance considerations. Architect highly efficient data and reporting structures, making a tradeoff between scalability, performance and user functionality needs, using expert knowledge in data modeling, ETL/ELT processes, SQL, Databases, OLAP, and reporting tools, such as OBIEE and other emerging technologies. Independently gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Architect Data Warehousing/Business Intelligence environments based on the evaluation of alternate solutions. Develop long term domain/technology strategies and significantly influence the process and standards associated with project engineering. Lead design reviews for other Data Engineers and offer feedback on design, integration, performance and scalability issues. Serve as a technical lead for medium and large projects and delegate assignments to team or cross functional participants. Serve as an authority in the area of technical and domain expertise and mentor, develop, and train junior data engineers.
A Bachelors degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field plus 8 years of progressively responsible experience as equivalent to a Masters degree 10 years of experience must involve architecting, developing and operating extremely large-scale data structures in Oracle and Linux environments for business intelligence analytics using ETL/ELT processes, OLAP technologies, data modeling, SQL, Oracle, Perl, Java, XML, and business Intelligence tools, such as OBIEE, Cognos, or Microstrategy.