Sr. Data Engineer

Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Design, develop, and maintain CI/CD pipelines using GitHub Actions to automate deployment, testing, and monitoring of applications. Implement and manage serverless solutions (e.g., AWS Lambda, EMR Serverless, Kafka, SNS, SQS, Athena etc.) as part of the application architecture. Implement infrastructure as code (IaC) practices using tools like Terraform, AWS CloudFormation, or similar to manage cloud infrastructure. Work with development teams to set up automated testing frameworks, ensuring high test coverage and code quality. Must understand the basics of relational data modeling and be able to clearly articulate the reasons to use non-relational systems in our architecture. Experience in desired but relevant experience in any of the following is acceptable: Singlestore, MySQL, Redshift, Athena, MSSQL Server, Oracle. Decent understanding for the digital media ad sales business and ad serving technologies with experience working with ad serving transactional data logs or Nielsen demographic data. Educate and inform business partners on architecture, capabilities, best practices and solutions to build out future enhancements Assist in analyzing business requirements, source systems, understand underlying data sources, transformation requirements, data mapping, data model and metadata for reporting solutions Writing easily understood documentation and architecture diagrams and keeping them up to date as code and frameworks change over time.