Snowflake & Airflow Administrator for Platform Reliability

Bridgenext; Argentina; Presencial; ARS 136.275.000 - 196.841.000; Jornada completa

Descripción de la vacante

Bridgenext is seeking a proficient Snowflake/Airflow Administrator to monitor and manage Airflow workflows and Snowflake environments. You will support data platform operations, ensure reliability, and participate in on-call rotations for production issues related to data pipelines and platform health.

The role emphasizes automation with Python, infrastructure as code with Terraform, and collaboration through Git/GitHub for CI/CD.

Formación

• Airflow administration, DAG monitoring, troubleshooting, and operational support.
• Snowflake provisioning, access support, warehouse usage, and performance tuning.
• Debezium for change data capture use cases.
• Kafka Connect connectors and data integration workflows.
• Python scripting for automation, troubleshooting, and ops.
• Terraform for data platform configuration and provisioning.
• Source control with Git/GitHub, PRs, and CI/CD collaboration.
• Independent problem solving for operational issues and root cause analysis.

Responsabilidades

• Administer Airflow environments and monitor DAG execution.
• Manage Snowflake provisioning, access, warehouses, cost, and performance.
• Support production data pipelines and troubleshoot failures.
• Work with Debezium and Kafka Connect for streaming data integration.
• Automate tasks with Python to improve efficiency.
• Use Terraform to manage infrastructure and provisioning.

Conocimientos

Airflow

Debezium

Kafka Connect

Python

SQL

Git/GitHub

Problem Solving

Terraform

Herramientas

Snowflake

Terraform

Git/GitHub

Descripción del empleo

Bridgenext is seeking a proficient Snowflake/Airflow Administrator to monitor and manage Airflow workflows and Snowflake environments. You will support data platform operations, ensure reliability, and participate in on-call rotations for production issues related to data pipelines and platform health.

The role emphasizes automation with Python, infrastructure as code with Terraform, and collaboration through Git/GitHub for CI/CD.