Strong foundation in Python and SQL for data processing. Basic understanding of APIs, backend systems, and application integration. Familiarity with AI/ML concepts and LLM-based tools. Exposure to cloud platforms (Azure preferred). Strong analytical thinking and problem-solving ability. Ability to work effectively in a guided, team-oriented environment. Preferred experience with vector databases (e.g., Azure AI Search), cloud-native backend systems and APIs, MLOps, CI/CD, model lifecycle management, data engineering concepts (CDC, incremental loads, streaming pipelines), monitoring, observability, performance tuning, Responsible AI practices and governance, and analytics tools (Power BI, Tableau). Preferred media domain experience includes programmatic advertising systems (DSP, SSP), personalization and recommendation platforms, identity resolution and post-cookie ecosystem, marketing analytics, attribution, and campaign optimization systems, and ad-tech ecosystem.
What you'll do
Requirements
Strong foundation in Python and SQL for data processing
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