• Competitive
  • Raleigh, NC, USA
  • Permanent, Full time
  • Credit Suisse -
  • 25 Apr 19

Senior Warehouse Developer # 130332

We Offer
  • Sr. Data Warehouse Developer in the Raleigh Data Warehouse Architecture & Development Team
  • Document and maintain all Schema and DB Access Users/Roles used in the Warehouse Clusters
  • Gathering Database Resource Requests from CDW & Partner Teams and Coordinate with DBAs on accomplishing the requests
  • Understanding Data Warehouse standards and help governing and improving the standards
  • Providing Architectural Improvement Solutions in current Client Data Warehouse Architecture and providing Architectural recommendations to the future Strategic Cloud Data Warehouse Migration
  • Understanding Firm's DevOps Solutions needed for the Data Warehouse and planning DevOps implementation
  • Explore and recommend solution for Test Automation in Data Warehouse Environment
  • Reviewing the coding standards and processes regularly in CDW for any improvement and fulfillment of implementation
  • Understanding the data feed and target enrichment requirement, help the team on building and executing the test cases for Data Quality Improvement
  • You will be familiar with JIRA, Confluence, SNOW, SVN and Deployment Tool & Processes
  • Involve in the data warehouse process design, development and help reviewing in the developers' code
  • Reviewing the production support issues regularly, and recommending solutions for Batch or Process Optimization or for Application Stability Improvement
  • Assist on developing POC and implementing on Cloud Data Warehouse migration.

Credit Suisse maintains a Working Flexibility Policy, subject to the terms as set forth in the Credit Suisse United States Employment Handbook.

You Offer
  • 15+ year's Hands-on experience in crafting and developing large scale ETL and Enterprise Data Warehouse solutions using Oracle
  • Hands-on experience with Oracle 11g or Later versions
  • Hands-on experience with PL/SQL Developer tool or similar development tools
  • Excellent in writing Shell Scripts
  • Good experience in Performance Tuning and developing high volume Data Loads
  • Data warehouse architecture techniques such as EDW, and ODS
  • Experience with Batch Scheduling Tool using Control-M or Auto Sys
  • You have strong knowledge in data processing in the domain areas Trade or CRev Processing & Reference Data processing
  • Experience in Big Data Technologies like Hadoop, SparkSQL, Python, Hive, etc., is a plus.