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Job Description - Data Platform & Pipeline Development: Build and maintain scalable, high-performance data pipelines for real-time and batch processing using BigQuery, Dataflow, Pub/Sub, and Vertex AI. - Governance & Optimization: Ensure data quality, security, and compliance (GDPR, PDPA) while optimizing databases and queries for analytics, ML models, and personalization. - Collaboration & Innovation: Partner with Product Managers and Data Analysts to deliver reliable datasets and continuously improve the data ecosystem with new tools and best practices. Requirements Data Engineer - Bachelor’s/Master’s in Computer Science, Information Systems, or Engineering - Experience in data engineering or related roles. - Technical Expertise: Strong in SQL, Python/Java/Scala, with hands-on experience in cloud platforms (GCP/AWS/Azure), ETL/ELT pipelines, data modeling, and workflow orchestration tools. - Background in OTT/media, familiarity with real-time analytics, AI/ML pipelines, and experience using BI tools such as Tableau, Looker, or Power BI."

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