Job Description

• Design and develop scalable data pipeline architectures for batch and real-time processing
• Build and maintain API-based ingestion frameworks and event-driven data streams
• Develop robust Python-based data processing workflows
• Integrate data from multiple sources
• Implement and optimize data models and transformations for downstream consumption
• Contribute to building AI-ready data infrastructure, including:
  • Embedding pipelines
  • Vector database integrations
• Collaborate with analytics, BI, and AI teams to enable data accessibility and reuse
• Ensure data quality, monitoring, and reliability across pipelines
• Follow best practices for performance, scalability, and governance

Qualifications

• Strong experience with Python for data engineering
• Hands‑on experience designing data pipelines (batch and/or streaming)
• Experien...