ETL Data Modeler

We are seeking a senior ETL Developer / Data Modeler to support enterprise data warehouse initiatives within a cloud-based analytics environment. This role will focus on integrating disparate data sources, improving data quality, and enhancing reporting and visualization capabilities., Develop and maintain ETL/ELT pipelines to support enterprise data warehouse solutions Integrate multiple data sources into centralized data environments Assess existing data sources and identify new data requirements and integration opportunities Support end-to-end data lifecycle management, including ingestion, transformation, and reporting Build and optimize data models for reporting, analytics, and visualization Enhance data quality, accessibility, and reporting performance Collaborate with stakeholders to understand business needs and translate them into data solutions Promote adoption of data products and analytics capabilities

The ideal candidate brings strong experience in data engineering, ETL development, and data modeling within large-scale environments., Strong experience with T-SQL development, including:

Complex queries Stored procedures Views, indexing, and functions

Experience developing ETL/ELT pipelines using tools such as:

SQL Server Integration Services (SSIS) Azure Data Factory

Experience with data warehousing concepts and implementations Experience with dimensional data modeling Experience with reporting and visualization tools (e.g., SSRS or Power BI) Experience working directly with stakeholders to:

Gather requirements Translate needs into data solutions and reporting outputs

Experience with tabular models and DAX expressions, Experience with cloud data platforms and services Experience with Azure-based data solutions, including data warehouse technologies Experience developing semantic data models Experience migrating legacy ETL solutions to modern cloud-based pipelines