Data Ops Engineer

Job Scope :

Responsible for orchestrating, monitoring, and maintaining reliable and scalable data pipelines across Tanla’s CPaaS ecosystem.

Ensure observability, reliability, and data quality across all data platforms through monitoring, alerting, and automated health checks.

Participate in incident detection, troubleshooting, and resolution to minimize downtime and data disruptions.

Implement and maintain data quality frameworks ensuring consistency, accuracy, and availability of business-critical data.

Job Responsibilities :

• Design, build, and maintain data pipeline orchestration workflows using tools like Apache Airflow or Prefect.
• Implement monitoring and logging frameworks (Prometheus, Grafana, ELK, Splunk) to ensure proactive alerting and performance visibility.
• Manage incidents by identifying anomalies, conducting root cause analysis, and coordinating resolutions across teams.
• Enforce data quality frameworks, including validation checks, schema management, and data freshness monitoring.
• Collaborate with engineering, product, and analytics teams to ensure seamless data flow and high system reliability.
• Automate repetitive data operations and create runbooks for faster troubleshooting.
• Document operational procedures, system health dashboards, and data reliability SLAs / SLOs.

Qualification and Experience :

Knowledge and Skills :

Why Join Us?

Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.