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Tier-1 brand, mid-level generalist data role, metro location, and broad skill requirements.
Core data engineering skills are broadly transferable despite advertising domain specifics.
Explicit 5+ years requirement plus mandatory production data engineering, streaming, and observability skills.
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Own and scale data pipelines, analytics layers, and impression data models supporting ad inventory forecasting accuracy and risk detection across global markets.
Design, build, and optimize batch and streaming data processing solutions including data modeling and API design for multiple business domains.
Ensure data quality, lineage, monitoring, and operational reliability in collaboration with data scientists and engineers while integrating AI/ML-enabled solutions.
Bachelor’s degree in Computer Science or related technical field, or equivalent experience.
5+ years of relevant professional experience in data engineering.
Proficiency in at least one programming language for data engineering (e.g. Java, Scala, Python), strong SQL and data modeling skills.
Experience with distributed processing, stream processing, large-scale data warehouses/lakes, and integrating AI/ML capabilities into data pipelines.
Experienced in designing and evolving scalable end-to-end data architectures including system and API design for complex, multi-tenant domains.
Proven ability to operate large-scale production data systems with performance tuning, capacity planning, and reliability improvements.
Demonstrated leadership in driving technical direction, establishing data standards, mentoring engineers, and leveraging data-driven insights for pipeline optimization.