Will “Data Warehousing Manager” be Replaced By Robots? 🤔
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Job Description
Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.
Job Details
- The SOC (Standard Occupational Classification) code is 15-1199.07
☝️ Information based on the reference occupation “Data Warehousing Specialists”.
Also Known As…
- Data Warehousing Specialists
- Storage Engineer
- Integration Engineer
- ETL Tester
- Datastage Developer
- Data Warehousing Specialist
- Data Warehousing Engineer
- Data Warehouse Specialist
- Data Warehouse Manager
- Data Warehouse Developer
- Data Warehouse Analyst
- Data Storage Specialist
- Data Manager
- Data Management Specialist
- Data Analyst
Tasks for “Data Warehousing Manager”
- Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases.
- Provide or coordinate troubleshooting support for data warehouses.
- Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
- Implement business rules via stored procedures, middleware, or other technologies.
- Review designs, codes, test plans, or documentation to ensure quality.
- Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.
- Prepare functional or technical documentation for data warehouses.
- Create or implement metadata processes and frameworks.
- Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
- Verify the structure, accuracy, or quality of warehouse data.
- Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
- Design and implement warehouse database structures.
- Select methods, techniques, or criteria for data warehousing evaluative procedures.
- Test software systems or applications for software enhancements or new products.
- Map data between source systems, data warehouses, and data marts.
- Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.
- Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.
- Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.
Related Technology & Tools
- Multi-line telephone systems
- Storage servers
- Personal computers
- Desktop computers
- Computer servers
- Data warehouse appliances
- Mainframe computers
- Laptop computers
- SAP Business Objects
- CodeFutures dbShards
- Microsoft Word
- Oracle Java
- SMSi Twister Data Integrator
- Talendforge
- Teradata Database
- McAfee
- Microsoft SQL Server Reporting Services
- Blackbaud The Raiser's Edge
- Apache Hive
- Microsoft .NET Framework
- Veritas NetBackup
- Oracle WebLogic Server
- Apache Subversion SVN
- Apache Solr
- Oracle Business Intelligence Enterprise Edition
- Rapid-I RapidMiner
- Splunk Enterprise
- Apache Hadoop
- Teradata Parallel Transporter
- Ubuntu
- Unified modeling language UML
- IBM Clarity Systems Clarity
- SAP
- C
- Oracle Hyperion
- Teradata FastLoad
- PostgreSQL
- Apache Cassandra
- SAP Sybase PowerDesigner
- TIBCO Spotfire
- The MathWorks MATLAB
- SAP Sybase Adaptive Server Enterprise
- Transact-SQL
- IBM Domino
- Oracle PeopleSoft
- Teradata BTEQ
- Apache Pig
- Oracle Solaris
- Python
- Aster Data nCluster
- Greenplum Database
- Microsoft Access
- NoSQL
- Job control language JCL
- Kalido Information Engine
- Coglin Mill RODIN
- Teradata Tpump
- Scriptella
- Structured query language SQL
- KornShell
- Flat File Checker
- SAS
- C#
- Informatica PowerCenter
- SAP NetWeaver Business Warehouse
- Microsoft Visual Basic Scripting Edition VBScript
- Apache Hbase
- IBM Netezza TwinFin
- Red Hat Enterprise Linux
- Talend Big Data Integration
- Jitterbit
- NetSuite ERP
- UNIX
- Apatar
- Oracle Warehouse Builder
- Perforce Helix software
- Symantec
- Embarcadero ER/Studio XE
- Talend Data Fabric
- C++
- Apache Flume
- MicroStrategy
- Sybase
- Microsoft SharePoint
- Extensible markup language XML
- SAND
- Adeptia ETL Suite
- Microsoft Office
- Microsoft Outlook
- Microsoft Visual Basic
- Practical extraction and reporting language Perl
- Cloudera Impala
- ParAccel Analytic Database
- Oracle PL/SQL
- Apache Spark
- Ruby on Rails
- Microsoft PowerPoint
- Oracle SQL Loader
- MongoDB
- Microsoft Windows
- SAP Sybase IQ
- Oracle JD Edwards EnterpriseOne
- Altova MapForce
- Apple Macintosh OS
- IBM InfoSphere DataStage
- IBM Cognos Impromptu
- SPSS
- Apache Avro
- Qlik Tech QlikView
- CloverETL
- Pentaho Kettle
- Relational database management software
- Tableau
- SAP Crystal Reports
- Objective C
- Common business oriented language COBOL
- ESRI ArcGIS software
- Nagios
- Oracle Business Intelligence Discoverer
- Microsoft SQL Server
- Linux
- Teradata FastExport
- Integrated development environment IDE software
- Microsoft Visual Studio
- R
- Apache Sqoop
- HiT Software Allora
- Apache HTTP Server
- SAS Data Integration Server
- Talend Open Studio
- StataCorp Stata
- Microsoft Project
- IBM WebSphere
- Adaptive Metadata Manager
- Hewlett Packard HP-UX
- Eclipse IDE
- Microsoft Visio
- Apache Oozie
- CA Erwin Data Modeler
- WisdomForce DatabaseSync System
- Microsoft Excel
- InterMine
- MySQL