In this role, the selected candidate participates in setting strategy and standards through data architecture and implementation; leads analysis, model and design the application data structure, storage, integration, deployment and support.
The Data Warehouse Engineer for Big Data (DWE) is responsible for the full life cycle of the back-end development of a Hadoop data warehouse. Responsibilities include developing ETL processes, designing structured data models from unstructured datasets, and integrating data in Hadoop with an SQL Server data warehousing environment.
In this role, the selected candidate will analyze and tune development and production databases (including Index Creation/Modification and/or Query rewrites to optimize SQL plan selection) to create performing systems using SQL Profiler and other means.
The Developer II (Data) works with the Lead Developer to design and develop technical solutions on a proprietary, multi-node computing environment focused on 'big data' processing (billions of records).
In this role, the selected candidate will translate business requirements into specifications that will be used to implement the required reports and dashboards, created from potentially multiple data sources.
In this role, you will be excellent in presenting complex development topics to both executive and technical personnel. The selected candidate will be mapping a customer business problem to an end-to-end technology solution.
In this role, the selected candidate will provide technical expertise to business areas in understanding the BI data architecture and advice on a structured approach to transitioning manual reports and applications to the BI environment.
In this role, the selected candidate will develop ETL processes to populate a Hadoop data warehouse with large datasets from a variety of sources, and integrate Hadoop within an SQL Server data warehousing environment.
This person will be involved in all aspects of our Business Intelligence solution, such as building new BI features, data modeling, machine integration, dashboard creation, Analyze Business Intelligence project requirements and perform the design, coding, testing, and documentation steps required to complete the project.
In this role, the selected candidate will design and support the database and table schemas for new and evolving sources of data; assist with dimensional design as we load new areas of business into the data warehouse.