How do they match: Data Warehousing Specialists

  • Data Warehousing Specialists

  • Data Governance Manager
  • Data Management Engineer
  • Data Management Manager
  • Data Management Specialist
  • Data Manager
  • Data Migration Specialist
  • Data Quality Analyst
  • Data Storage Specialist
  • Data Warehouse Analyst
  • Data Warehouse Developer
  • Data Warehouse ETL Developer
  • Data Warehouse Engineer
  • Data Warehouse Extract, Transform, and Load Developer
  • Data Warehouse Manager
  • Data Warehouse Programmer
  • Data Warehouse Solution Architect
  • Data Warehouse Specialist
  • Data Warehousing Engineer
  • Data Warehousing Manager
  • Data Warehousing Specialist
  • Data and Reporting Analyst
  • Datastage Developer
  • Big Data Engineer

  • Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.

  • Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.
  • Design and implement warehouse database structures.
  • 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.
  • Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
  • 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.
  • Map data between source systems, data warehouses, and data marts.
  • Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.
  • Prepare functional or technical documentation for data warehouses.
  • Provide or coordinate troubleshooting support for data warehouses.
  • Select methods, techniques, or criteria for data warehousing evaluative procedures.
  • Verify the structure, accuracy, or quality of warehouse data.

  • Analyze data to identify trends or relationships among variables.
  • Create databases to store electronic data.
  • Develop procedures for data management.
  • Evaluate data quality.