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High due to strong brand, mid-level data role, metro location, and broad skill requirements.
Medium because core data engineering skills are transferable but AdTech domain familiarity is preferred.
High due to explicit 5+ years requirement and mandatory big-data, cloud, and AdTech domain expertise.
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Design and implement scalable ETL pipelines and real-time data processing for advertising performance metrics such as forecasting and yield optimization.
Build and maintain cloud-native services including ad-serving, campaign management, and identity systems with APIs and third-party AdTech integrations.
Lead platform modernization efforts by migrating legacy systems to cloud-native architectures while ensuring observability, security, and compliance.
5+ years of software engineering experience with exposure to AdTech or large-scale distributed systems.
Proficiency in at least one programming language: Python, Java, or Scala; experience with SQL, NoSQL databases, and big data tools like Apache Spark and Kafka.
Experience working with cloud platforms such as AWS, Azure, or GCP.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experienced in designing and operating large-scale distributed data systems in the advertising technology domain, including forecasting and campaign execution workflows.
Capable of collaborating across product, data science, and platform teams with proven mentorship experience for junior engineers.
Comfortable working with cloud-native architectures, modern DevOps tools, and implementing security and compliance best practices in complex environments.