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Strong global brand, mid-level data engineer, metro location, broad skillset requirements drive high competition.
AdTech domain knowledge preferred but core data engineering skills remain broadly transferable across industries.
Explicit 5+ years requirement plus mandatory big-data, cloud, and streaming technologies increase shortlisting strictness.
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Design and implement scalable, cloud-native ETL and real-time data processing pipelines for advertising technology.
Develop and maintain services for ad-serving, campaign management, and identity systems including APIs and third-party integrations.
Contribute to legacy system migration and implement best practices for observability, security, and compliance within cloud platforms.
5+ years of software engineering experience, preferably with exposure to AdTech or large-scale distributed systems.
Proficiency in at least one language: Python, Java, or Scala; experience with big data tools (Spark, Kafka) and streaming architectures.
Experience with cloud platforms such as AWS, Azure, or GCP and related DevOps tools.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experienced in advertising technology workflows including forecasting, yield optimization, and campaign execution.
Skilled in working with big data frameworks and cloud-native systems in a collaborative, cross-functional environment.
Capable of mentoring junior engineers and aligning technical solutions with business objectives.