DataOps Engineer (Argentina)

DataOps Engineer (Argentina)

17 sep
|
Unavailable
|
Argentina

17 sep

Unavailable

Argentina

Company Overview

At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a integral digital consultancy with experts in engineering, data, AI, creative and more.

Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.

Position Description

We are looking for a talented and experienced Data Operations Engineer to join our team.



Bridgenext is seeking a Data operations engineer with deep expertise in Snowflake and Apache Airflow, who is also ready to take on infrastructure and operational responsibilities. You would be working in Central US Business hours, and you would also be part of the team which provides on-call support for high priority production issues.Key Responsibilities:
- Data Pipeline & Workflow Management: Design, build, schedule, monitor, and optimize data ingestion and transformation workflows using Apache Airflow, including DAG development, dependency management, retries, and failure handling.
- 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, st

📌 DataOps Engineer (Argentina)
🏢 Unavailable
📍 Argentina

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