Summary
Design, develop, and maintain end-to-end data pipelines and analytics systems to support enterprise reporting, data integration, and business intelligence initiatives. Analyze business and technical requirements and translate them into scalable data architectures, data models, and implementation plans. Build and optimize ELT/ETL workflows using cloud-based data platforms, programming languages, and automation frameworks to ensure data accuracy, reliability, and performance. Develop and maintain structured and semi-structured data models, including fact and dimension tables, to support downstream analytics and reporting use cases. Develop and maintain automation frameworks and CI/CD pipelines to support version control, testing, and deployment of data solutions. Work under supervision. Travel and/or Relocation to various unanticipated client sites throughout USA is required.
Responsibilities
Design, develop, and maintain end-to-end data pipelines and analytics systems to support enterprise reporting, data integration, and business intelligence initiatives. Analyze business and technical requirements and translate them into scalable data architectures, data models, and implementation plans. Build and optimize ELT/ETL workflows using cloud-based data platforms, programming languages, and automation frameworks to ensure data accuracy, reliability, and performance. Develop and maintain structured and semi-structured data models, including fact and dimension tables, to support downstream analytics and reporting use cases. Develop and maintain automation frameworks and CI/CD pipelines to support version control, testing, and deployment of data solutions. Work under supervision. Travel and/or Relocation to various unanticipated client sites throughout USA is required.
Experience Requirements
Master’s degree in Computer Science/Information Technology/IS or closely related field.