DataOps Engineer: Snowflake & Airflow Expert

Bridgenext; Argentina; Presencial; ARS 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Bridgenext, a digital consulting services leader, is seeking a Data Operations Engineer with deep Snowflake and Apache Airflow expertise to join our team. You will design, build, and optimize data ingestion and transformation workflows, ensuring reliability across production pipelines.

You’ll own on-call rotations, contribute to CI/CD with Terraform, collaborate with platform teams, and apply Python scripting to automate tasks, monitoring, and incident response.

Formación

• Snowflake environments, performance tuning, data loading.
• DAGs, pipelines design and troubleshooting in Airflow.
• Relational databases such as MS SQL and Postgres.
• Kafka Connect and Debezium exposure is a plus.

Responsabilidades

• Data Pipeline & Workflow Management: Design, build, schedule, monitor, and optimize data ingestion and transformation workflows using Apache Airflow.
• Snowflake Data Warehousing: Support Snowflake development and operations, including data modeling, schema management, performance tuning, warehouse optimization, data loading, and troubleshooting production data issues.
• Airflow Operations & Reliability: Maintain, troubleshoot, and enhance Airflow workflows by investigating DAG failures, improving task observability, strengthening alerting, and ensuring reliable pipeline execution during business hours and on-call rotations.
• Infrastructure & CI/CD Growth: Partner with platform teams to contribute to our GitHub CI/CD workflows, Pull Request reviews, and Terraform-managed infrastructure (module maintenance).
• Monitoring & Reliability: Maintain and improve monitoring and alerting infrastructure using tools like New Relic, Grafana, and PagerDuty to ensure pipeline health.
• Container Maintenance: Troubleshoot and support existing Kubernetes/Helm deployments with guidance from senior platform engineers.
• Operational Excellence: Write clear runbooks to document operational procedures, replacing tribal knowledge with structured guides.
• Automation: Utilize Python to build helper scripts, automate data processing tasks, and streamline infrastructure management.

Conocimientos

Snowflake

Apache Airflow

Databases

Streaming & CDC

Herramientas

GitHub

Terraform

New Relic

Grafana

PagerDuty

Kubernetes

Helm

Python

Descripción del empleo

Bridgenext, a digital consulting services leader, is seeking a Data Operations Engineer with deep Snowflake and Apache Airflow expertise to join our team. You will design, build, and optimize data ingestion and transformation workflows, ensuring reliability across production pipelines.

You’ll own on-call rotations, contribute to CI/CD with Terraform, collaborate with platform teams, and apply Python scripting to automate tasks, monitoring, and incident response.