Design, build, and maintain dbt models integrating marketing data across DSPs and ad servers.
Reconcile granularity differences and resolve join-key quality issues across datasets.
Develop cross-platform metric allocation and support attribution use cases for reporting.
Build and maintain data ingestion pipelines from diverse external sources.
Lead migration of legacy ingestion patterns to scalable Dataflow/Cloud Run solutions.
Collaborate with analytics and client teams to translate requirements into data products.

🎯 Requirements

Bachelor’s or Master’s in CS, engineering, applied math, or related quantitative field; or equivalent experience.
3+ years in analytics, marketing analytics, and related techniques.
Hands-on experience with SQL and Python; experience with cloud platforms.
ETL/ELT pipelines and data architecture patterns.
Familiarity with Agile methodologies and DataOps practices.
Independent and collaborative work style.

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