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Junior level, metro location, and generalist data+AI responsibilities increase applicant competition.
Core data engineering skills transfer across industries, though marketing and music context add moderate domain specificity.
Requires explicit 2+ years, Python/SQL competency and Databricks familiarity, creating moderate screening.
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Monitor and troubleshoot daily data ingestion routines for real-time data feeds from digital platforms.
Run, evaluate, and test machine learning models tracking product consumption and trend validation.
Manage and update front-end dashboards and automate bulk ad deployment processes using AI scripts.
Bachelor’s degree or equivalent experience.
2+ years professional experience in data engineering, analytics, or predictive pipelines within tech or digital media.
Proficiency in basic Python and SQL; willingness to learn production data models in Databricks.
Basic understanding of data privacy principles and cross-border data handling protocols.
Experience working with real-time data ingestion and AI-driven marketing analytics in digital media or music industry contexts.
Comfortable managing data pipelines and dashboards for non-technical marketing stakeholders.
Familiarity with AI coding assistants, LLMs, and automation to optimize routine engineering tasks.