Senior Tableau With ETL Experience- Hybrid (Weekly Once or Twice at Office)

The Dignify Solutions, LLC

  • Hartford, CT
  • 6 days ago

    Highlights

    We are seeking an experienced Senior Tableau & ETL Developer to design, develop, and maintain business intelligence dashboards, reporting solutions, and robust data integration pipelines. Required Skills & Experience 10+ years of relevant professional experience in software development, business intelligence, reporting, data integration, or ETL development.

    Numbers & Facts

    LocationHartford, CT

    Description

    We are seeking an experienced Senior Tableau & ETL Developer to design, develop, and maintain business intelligence dashboards, reporting solutions, and robust data integration pipelines. The ideal candidate will have extensive experience with Tableau, complex SQL, T-SQL, and enterprise reporting and ETL tools.

    Required Skills & Experience
    • 10+ years of relevant professional experience in software development, business intelligence, reporting, data integration, or ETL development.
    • 7+ years of hands-on experience with Tableau, including dashboard development, data visualization, and reporting.
    • 7+ years of experience with complex SQL, including query optimization, joins, subqueries, stored procedures, and performance tuning.
    • 7+ years of experience with T-SQL and enterprise reporting/ETL tools, such as SSRS, SSIS, or Talend.
    • Strong understanding of ETL processes, data transformation, data integration, and data quality management.
    • Experience developing and maintaining enterprise reporting and analytics solutions.
    • Proven ability to troubleshoot data issues and optimize reporting and data processing performance.
    • Strong analytical, problem-solving, communication, and collaboration skills.

    Preferred Skills

    • Experience with Salesforce and related data integration requirements.
    • Familiarity with MuleSoft integration technologies and enterprise application connectivity.
    • Experience supporting legacy system modernization and migration projects.
    • Knowledge of data mapping, data reconciliation, and data validation techniques.

     

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