AI Data Engineer

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