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Data Warehouse Consultant

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Data Warehouse Consultant

 

Key Responsibilities

  • Data Warehouse Developer for ETL and Business Intelligence activities.
  • Responsible for designing and writing ETL programs required to extract, transform, clean and move data and meta data so they can be loaded into a data warehouse, data mart, or operational data store.
  • Design and develop warehouse enhancements.
  • Load and validate dimensions and measures stored procedures.
  • Perform all application unit and system testing.
  • Support the loading and integrity of the data warehouse.
  • Create data dictionary’s and proper documentation on the data warehouse.
  • Assist with creation of a robust, sustainable, and scalable architecture that supports requirements and provides for expansion.
  • Work with Business Analysts to identify, understand, and prioritize user information requirements; – Develop business-oriented meta-data definitions.
  • Perform software analysis and tests software specific to area of business.
  • Determine system specifications, input/output processes and working parameters to meet business requirements and hardware/software compatibility.
  • Responsible to document and recommend design changes and/or enhancements to systems.

 

Skills and Qualifications

  • A minimum of 5+ years working experience in IT.
  • Must have 5+ years’ Experience of writing ETL Packages.
  • Experience of working within a large database development project team.
  • Experience developing data solutions using MS Azure Data services.
  • Experience with Data warehousing methodologies and development.
  • Capable of speaking articulately to a breadth of topics such as data store technologies, ETL, data warehousing, data virtualization, data modeling and data lakes.
  • Experience with Data Modeling, Database Design Schemas, Data Hierarchy Structures, Aggregation methodologies, OLAP reporting.
  • Experience with other ETL Tools like Informatica.
  • Should be well versed in the use of SQL, PL/SQL, Entity-Relationship and Data Warehouse Dimensional Data Modeling.

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