Curran Daly & Associates
March 15, 2019
Job Type
Work Experience
SOLID understanding of data warehousing concpets; 3-5 years of experience in ETL/DWH development and support using SQL stack (SSIS, T-SQL, etc.)


  • Data Warehouse ETL Specialist
    • Involved in data acquisition to extend the Enterprise Data Warehouse data coverage, ensuring data readily available for future initiatives
    • Involved in projects through model, design, build and test of Data warehouse interface, ETL and Data model services
    • Configure and maintain and improve EDW Reconciliation Framework
  • Data Quality Management
    • Work with Data Quality Manager to identify data quality issues and facilitate resolution at source
    • Setup monitor to detect relapse of data quality issues
    • Master Data and Reference data issue management
  • DWH Application Support
    • Support the Data Warehouse Operations Specialist, help out with urgent BAU tickets and minor enhancements
    • Involve in Continuous Improvement activities to ensure better DWH experience for end user
  • Environment Management
    • Prepare project environment(s), code deployment for development and test purposes.
    • Align Data Warehouse environment and source code management with the Strategic enterprise solution. This include database restore, TFS code merge and deploy from Dev, SIT and UAT branches.

Key Qualifications

  • A degree in Bachelor of Computer Science or similar
  • Minimum of 5 years Microsoft SQL Server:
    • Best Practice SSIS ETL design and Build
    • TFS Source Code Management
    • Transact SQL
    • Stored Procedures
    • Database Tuning
  • Minimum of 4 years Data Warehousing:
    • Kimball Methodologies
    • Star Schema Design
    • Enterprise Data Warehouse
    • Strong skills in Confluence and Jira
  • Microsoft SQL Server Certification
  • Kimball University qualifications
  • Data Vault 2.0 practitioner certified
  • Demonstrated knowledge of:
    • Financial subject area data modelling
    • Data Vault Methodologies
    • Agile Methodologies
    • Microsoft BI Stack (SSAS)
    • Financial Services Industry,  experience within a similar role
    • Cognos BI Stack
    • Code automation and BIML
    • SQL Server MDS and DQS
    • Database Administration
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