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Tier-1 brand, popular mid-level data engineer role, metro location and broad required skills drive high competition.
Core data engineering skills transfer across industries, but required AdTech experience raises domain specificity.
Mandatory 5+ years plus Spark/Kafka/cloud and AdTech experience makes filters stringent.
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Design and implement scalable ETL pipelines and real-time data processing for advertising technology, including ad performance and yield optimization.
Build and maintain cloud-native services supporting ad-serving, campaign management, and integrations with third-party AdTech partners.
Contribute to modernization by migrating legacy systems to modular cloud architectures, implementing best practices for observability, security, and compliance.
5+ years of software engineering experience with exposure to AdTech or large-scale distributed systems.
Proficiency in one or more of Java, Scala, Python; experience with big data tools such as Apache Spark and Kafka.
Experience with cloud platforms such as AWS, Azure, or GCP; working knowledge of databases and data warehouses/lakes.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experienced in operating within AdTech domain focusing on advertising workflows like forecasting, yield optimization, identity, and campaign execution.
Demonstrated ability to design and deliver cloud-native, modular data engineering solutions at scale using big data frameworks.
Capable of collaborating cross-functionally with product and operations teams and mentoring junior engineers to align technology with business goals.