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