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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end development and operational support of automated batch data pipelines and Airflow orchestration handling daily and 15-minute interval ad campaign optimizations.
Maintain, extend, and audit a complex feature store and data-quality gates ensuring idempotent, high-quality data writes driving live ad bidding decisions.
Collaborate cross-functionally to translate business targets (ROAS, budgets) into data models and pipelines; mentor junior engineers and lead changes spanning pipeline and action layers.
Minimum Requirements
Bachelor's degree in Data Science, Computer Science, or related field, or equivalent experience.
4+ years professional experience with 4+ years in advanced SQL and Python; 3+ years building and owning production data pipelines at scale.
2+ years working with cloud data warehouses (Snowflake, Redshift, BigQuery) and workflow orchestrators (Airflow strongly preferred).
Experience orchestrating ML training and batch inference workflows on platforms like SageMaker; demonstrated data quality ownership; strong scripting and version control skills.
Ideal Candidate Profile
Experienced in managing large-scale, production-level data pipelines with complex orchestration and real-time constraints in ad-tech or similar domains.
Strong operational focus on correctness, idempotency, data quality gating for external system writes, and troubleshooting live production failures including on-call support.
Able to collaborate with data scientists and business teams; skilled at translating ads performance/strategy targets into data pipelines and mentoring junior engineers.