Datawarehouse Lead Datawarehouse Lead …

Credit Suisse
in Raleigh, NC, United States
Permanent, Full time
Be the first to apply
Competitive
Credit Suisse
in Raleigh, NC, United States
Permanent, Full time
Be the first to apply
Competitive
Credit Suisse
Datawarehouse Lead
We Offer
Dedicated Data Warehouse Lead
· With strong data warehouse technical architecture and communication skills
· Who can provide technical solutions to the Data Warehouse Team and architectural guidance for future strategic cloud data warehouse platform
· Who has excellent knowledge in understanding the data and processing in the domain areas Client Revenue Reporting, Trade Processing, Sales Credit/Commission including MIFID II Processing, Client Consumptions & Activities

You Offer
· Leading the Raleigh Data Warehouse Architecture & Development Team
· Primarily providing Architectural Improvement Solutions in current Client Data Warehouse Architecture and providing Architectural recommendations to the future Strategic Cloud Data Warehouse Migration
· Provide demos to the team to motivate for a Strategic Cloud Development Culture.
· Understanding Firm's DevOps Solutions needed for the Client 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 enforcement of implementation
· Understanding the data feed and target enrichment requirement, help the team on building and executing the test cases for Data Quality Improvement
· Must be familiar with JIRA, Confluence, SNOW, SVN and Deployment Tool & Processes
· Institute and enforce the process to link JIRA, Confluence Document, SNOW and SVN for each release from requirement to implementation
· Reviewing the production support issues regularly, and recommending solutions for Batch or Process Optimization or for Application Stability Improvement
· Helping on developing POC and implementing on Cloud Data Warehouse migration.

Required Skills:
· 15+ year's Hands-on experience in designing 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.
· Expert in writing Shell Scripts.
· Strong 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
· Must 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.
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