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