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- Data sources include Ad Server, DSP, DMP, Ad Verification Collaborate with a cross-functional team of client leads, application developers, operations engineers and architects to translate complex product requirements into technical specs and design requirements.
- Optimize performance and cost-efficiency of cloud-based processes across multiple cloud environments (AWS, Azure, GCP).
- Maintain a high degree of knowledge in cloud data architecture and ETL best practices especially across Google Cloud Platform products and services.
- Develop and deploy automated scripts in Google, Azure or AWS cloud services to be used by other teams to increase productivity.
- 3-5 years of related work experience in the field of data engineering, marketing analytics, data science, and technology consultative environments Excellent client-facing, communication, and writing skills.
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