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Senior niche Spark/GCP QA role, but metro location and known employer increase applicant density.
Highly domain-specific (data pipelines, Spark, GCP, QA) so candidates require specialized background.
Explicit 15+ years and mandatory Spark, GCP, Airflow, AI, and coding skills impose strict filters.
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Design, develop, and deploy automated QA frameworks and data regression checks within OneTru platform for US market products.
Lead engineering team and act as SME for end-to-end system flows, services, and integrations on OneTru.
Partner with stakeholders to ensure operational execution and scalable long-term maintenance of quality solutions using AI and cloud tech on GCP.
15+ years of engineering experience.
Strong skills in Spark/mapreduce and Python or Java.
Experience with GCP, logging/monitoring tools, Airflow, and APIs.
Work Experience Required: 15+ years in engineering.
Experienced in building automation and data quality solutions at scale within cloud environments (GCP).
Capable of leading technical teams and serving as a subject matter expert for complex system integrations.
Proficient in applying AI/ML to production workflows and maintaining quality in large data platforms for US markets.