Data Pipeline Engineer - Hexegic

Key Responsibilities

• Maintain and optimize Airflow DAGs to ensure reliable, on‑time data pipeline execution.
• Implement and monitor health checks, alerts, and automated triage for data quality and pipeline failures.
• Diagnose and resolve code and configuration issues across Python, SQL, and AWS services.
• Collaborate with data scientists and analysts to understand data requirements and deliver clean, actionable datasets.
• Document pipeline logic, runbooks, and incident response procedures for cross‑team visibility.

Requirements

• 3+ years of experience building and maintaining data pipelines in a production environment.
• Experience with data quality frameworks, monitoring, and alerting.
• Excellent problem‑solving skills and a proactive, hands‑on approach to incident response.