Description

• Lead the development and deployment of GroupM products and services across multiple cloud environments.
• Gather, store and maintain big data sets for all digital marketing channels. 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. 
• Facilitate architectural discussions and initiatives to ensure cloud-based products are optimally deployed with maximum availability of design features. 
• Formulate and execute robust UAT protocols to identify and address latent errors in product functions. 
• Design, build and deploy ETL and data management processes with reliable error/exception handling and rollback framework. 
• Provide production support for data load jobs and develop a customized query to generate automatic periodic reports. 
• Build applications writing SQL/Python scripts to manipulate data and/or writing specific instructions for off-shore programmers to write the script.

• Bachelor’s degree in Computer Science, Information Systems, or related field. OR equivalent professional work experience. 
• 2 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. 
• Expertise with Data Architecture fundamentals, database design, and programming, ETL and custom query development Strong skills in SQL/ Python and proven experience working with at least one of the major databases platforms required. 
• Experience with building data pipes into Azure/GCP/AWS for Data Profiling Tools, ETL and Data Management Tools Experience processing, developing/ cleansing data for AI/ML purposes required. 
• 2 years of experience with the following GCP or equivalent cloud services: Cloud Storage, DataProc, Dataflow, CloudSQL, BigQuery Experience using the Linux Command Line Experience with source code management systems. 
• Data warehousing experience, with a strong understanding of semantic and physical data models.
• Experience with SCRUM or Agile methodology and project management tools. 
• Able to deliver a broad range of data engagements in areas such as Data Architecture, Data Integration, Data Analytics, Data Governance, Data Quality and BI Reporting.

 The base salary for this position at the time of this posting may range from $60,000 to $140,000. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility and qualifications. We offer a competitive benefits package, please visit https://www.wpp.com/people/wellbeing/benefits-at-wpp-in-the-us for more details.