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Remote consulting position responsible for designing, building, maintaining, and optimizing infrastructure for data integration and analytics using Microsoft Azure in the Media Industry. Must have expertise in Azure, SQL, ETL pipelines, and programming languages like Python and Scala. Required to work with cross-functional teams and possess certifications in Azure and Databricks.

The Senior Data Quality Engineer will lead quality assurance initiatives for data pipelines and ETL processes on Google Cloud Platform. Responsibilities include implementing automated testing frameworks, ensuring data accuracy and reliability, collaborating with teams to improve data quality, and applying best practices in QA.

The role involves designing, building, and maintaining data integration infrastructure, with a focus on optimizing analytics and digital channels for the food services industry. The engineer will work with modern data technologies, creating data pipelines and models to support AI/ML analytics projects aimed at enhancing customer experiences and driving growth.