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Metro location and generalist mid-level title increase applicant competition, though niche marketing AI focus reduces it.
Core data engineering and ML skills are transferable, though marketing domain experience moderately matters.
Explicit 2+ years plus Python/SQL and Databricks familiarity produce moderate candidate screening.
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Ensure uninterrupted daily data ingestion from digital sources like DSPs, social media, and eCommerce platforms.
Support ML model evaluation related to product consumption trends and validate real-time trend spikes.
Maintain and update dashboards and front-end tools for non-technical marketing users; assist with automated campaign data processing and AI-assisted creative asset generation.
Bachelor’s degree or equivalent experience.
Minimum 2 years experience in data engineering, analytics, or predictive pipelines within tech or digital media.
Basic proficiency in Python and SQL; familiarity with Databricks environments.
Knowledge of data privacy and cross-border data handling regulations relevant to regional markets.
Experience working in digital marketing or entertainment industry data environments focused on AI and automation.
Comfortable operating with ML model validation and pipeline troubleshooting in production-like ecosystems.
Ability to translate technical data engineering outputs into accessible tools for marketing stakeholders and manage AI-assisted automation workflows.