Data Warehouse Engineer

 

Job Responsibilities:

  • Manage all warehouse data, design architecture, and prepare appropriate documents to develop schema data model.

  • Coordinate with business users and prepare documents to plan and control various volumes of data.

  • Maintain data warehouse systems and provide production support.

  • Evaluate all data and perform various tests on data warehouse and ensure effective implementation.

  • Administer all data and ensure compliance with standards and policies. Maintain high quality of all deliverables and provide efficient guidance to all database architecture.

Job Qualifications:

  • 10+ Years in DW/BI space in both designing the model and building analytics. At least executed two end-to-end implementations. At least worked for one year in Azure SQL and ADF and for 2 year in building Tableau model/reports/dashboards

  • Experience in developing and optimizing stored procedures and functions using T-SQL for data migration and transformation

  • Master in Azure SQL stack architecture (SQL Server, SQL Warehouse and Azure Data factory)

  • Solid knowledge of data warehouse systems (star schema, snowflake schema, dimensions, measures, slowly changing dimensions, etc. is a must).

  • Administration experience of Tableau server is mandatory

  • Technical knowledge of python, Pentaho, or shell scripting is required

  • Ability to interact with business users to understand business requirements, document them, and provide an optimal solution.

  • Past experience in leading a technical team is highly desired.

  • Knowledge of other analytics platforms like Epiphnay, SAP BW, etc. is a plus.

  • Functional knowledge of common business processes like quote to cash, procure to pay, hire to retire, clickstream analysis, revenue, booking, billing, etc. is desirable.

  • Production support experience in investigating errors/exceptions and resolving the errors at the root level.

  • Extremely good verbal and written communication skills.

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