Data Engineer (AdTech / MarTech/ Retail Media ecosystems)
Role details
Job location
Tech stack
Requirements
BS/MS in Computer Science, Engineering, Data Science, or related field. * 5 8 years in data engineering, software engineering, or platform engineering with strong experience building scalable data pipelines and distributed systems. * Strong proficiency in Spark and Python, with hands-on experience in production-grade data engineering and cloud-based data platforms. * Hands-on with Spark, Kafka, HBase, Presto, Hive Flink, Airflow/Beam, SQL/NoSQL, cloud platforms, and AI/ML data enablement.
Preferred Qualifications * Good-to-have experience in AdTech e.g. Google Ads, digital advertising, retail media, audience platforms, or marketing measurement. * Exposure Data science models, recommendation systems, experimentation, A/B testing, or real-time decisioning. * Knowledge of Data privacy, data governance, Kubernetes, Docker, and microservices. * Ability to interpret performance metrics, conduct A/B testing, and use analytics tools like Google Analytics 4 (GA4) to track user behavior and Return on Ad Spend (ROAS)