Provide high-quality, compliant, and real-time data pipelines to power AI systems. Key Responsibilities - Build pipelines for CDR data, network telemetry, customer data - Enable real-time streaming (Kafka, Flink) for AI use cases - Implement data quality, lineage, governance controls - Manage feature engineering pipelines for ML models - Ensure compliance with data privacy regulations ### Requirements - Data engineering stack (Spark, Kafka, Flink, SQL) - Cloud data platforms (Snowflake, BigQuery, Databricks) - Data governance and lineage tools - Telco data domain knowledge ### Benefits - Data latency (real-time readiness) - Data quality scores - Pipeline reliability