Senior Data Platform Engineer - Azure & BI

Christ Panos Food Corporation

Itasca (IL)

On-site

USD 90,000 - 110,000

Full time

7 days ago
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Job summary

Christ Panos Food Corporation is seeking a highly skilled Data Platform Engineer to manage and modernize our enterprise data ecosystem. You will administer Microsoft SQL Server environments, BI platforms, and cloud-based data integration services to ensure data availability and performance.

The role involves ETL development with SSIS, Azure Data Factory, and building robust analytics using SSAS, SSRS, Tableau Cloud, and Power BI.

Qualifications

  • Bachelor's degree or equivalent in CS/IS/Data Eng.
  • 5+ years of production SQL Server experience.
  • Strong ETL/ELT and data warehousing skills.
  • Experience with Azure data services and cloud analytics.
  • Hands-on BI/reporting with SSRS/Tableau/Power BI.

Responsibilities

  • Administer SQL Server and Azure SQL MI, including upgrades and migrations.
  • Design and maintain SSIS ETL processes and Azure Data Factory pipelines.
  • Develop and optimize SSAS tabular/ multidimensional models.
  • Create and manage SSRS reports; support Tableau Cloud and Power BI.
  • Collaborate with stakeholders; document architectures and best practices.

Skills

SQL Server Administration
Azure SQL MI
Performance Tuning
SSIS Development
SSAS Modeling
SSRS Reports
Tableau Cloud
Power BI Administration
Data Warehousing
ETL/ELT Design

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field

Tools

Azure Data Factory
Tableau Cloud
SSIS
SSAS
SSRS
Power BI
SQL Server

Job description

Christ Panos Food Corporation is seeking a highly skilled Data Platform Engineer to manage and modernize our enterprise data ecosystem. You will administer Microsoft SQL Server environments, BI platforms, and cloud-based data integration services to ensure data availability and performance.

The role involves ETL development with SSIS, Azure Data Factory, and building robust analytics using SSAS, SSRS, Tableau Cloud, and Power BI.

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