SDE III - Data Engineering

About the role

The Data Engineering & Capabilities Team is responsible for building the intelligence backbone that powers personalization, recommendations, multimodal search, experimentation, analytics, and AI-driven commerce experiences. We bring together data from affiliate feeds, OEM integrations, commerce catalogs, user interactions, and transaction systems to create trusted, scalable, and ML-ready data products.

What you'll do

• Design and build scalable batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow
• Develop data products that support analytics, experimentation, recommendation systems, personalization, and AI applications
• Build and maintain highly reliable ETL/ELT frameworks processing billions of events and catalog updates
• Develop systems for user identity resolution and cross-surface signal aggregation across Mobile, TV, OEM, and Commerce ecosystems
• Build datasets and services that support user profiling, audience creation, segmentation, and personalization

What you need

• 6–10 yrs of experience
• SQL
• Python
• Data modelling
• Machine learning
• Spark
• Kafka
• Any graduate

Good to have

• MLOps
• Airflow
• Data warehousing
• Databricks
• BigQuery
• Reconciliation