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Strong employer and metro location but senior, specialized marketing-data role limits applicant density.
Core data engineering skills transferable, but marketing-measurement experience (MMM/MTA, CDP) increases domain specificity.
Explicit 8+ years requirement plus mandatory Python, SQL, cloud, and domain experience makes shortlisting stringent.
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Develop and maintain scalable data pipelines and ETL/ELT processes for marketing and customer data integration.
Build analytical datasets and data models to support marketing measurement frameworks such as MMM and MTA.
Collaborate with data science and analytics teams to deliver reliable, governed marketing data assets and support advanced analytics solutions.
8+ years of experience in Data Engineering, Marketing Analytics, or related fields.
Strong proficiency in Python and SQL.
Experience with cloud platforms like AWS, Azure, or GCP.
Solid understanding of data warehousing, data modeling, ETL/ELT frameworks, and working with marketing datasets.
Experienced in integrating and managing diverse marketing and customer data platforms including CRM, CDP, ad servers, and web analytics.
Skilled in enabling marketing measurement techniques such as Marketing Mix Modeling and Multi-Touch Attribution.
Able to optimize and automate data workflows supporting cloud-based modern data architecture initiatives.