Data Operations Senior Analyst

hace 7 días

Mexico City Bayforce A tiempo completo

Role Title: Senior Data Operations Analyst – Snowflake (Contract-to-Hire) Employment Type: Contract-to-Hire
Duration: 3 months, with potential extension
Location: Remote (Mexico)

About the Role:
We're looking for a hands-on Senior DataOps Engineer to ensure the stability, reliability, and timeliness of our Snowflake data platform . You'll own pipeline monitoring, incident response, and operational support, while automating manual tasks to improve efficiency and data quality.

What You'll Do:
Monitor Pipelines: Track ELT/ETL workflows and dbt jobs, proactively identifying delays or failures.
Incident Response: Troubleshoot SQL, Python, or ingestion issues and restore service quickly.
Ensure Data Quality: Validate timely, accurate data from multiple sources and track quality metrics.
User Support: Manage tickets (Jira/ServiceNow) for access requests, queries, and data issues.
Automation: Develop Python scripts to automate maintenance, alerts, and validations.
CI/CD Support: Assist with smooth dbt/code releases and quick rollbacks.
Root Cause Analysis: Document incidents and implement solutions to prevent recurrence.

What We're Looking For:
Operational Experience: Background in DataOps, SRE, or production support.
SQL: Strong skills for debugging and validating data issues.
Python: Proficient in scripting and automation (Python 3.10/3.11 preferred).
Troubleshooting: Analytical mindset to trace errors across logs, code, and data lineage.
Snowflake: Familiarity with virtual warehouses, history tables, and query profiling.
Communication & Agility: Able to clearly work with technical teams and business users, adapt quickly in a lean environment.

Bonus Skills:
SnowPro Core certification
dbt experience (running/debugging models)
Familiarity with observability tools (Monte Carlo, Datadog, alerting)
Experience with Git and CI/CD pipelines

Why This Role is Exciting:
You'll be at the heart of keeping a modern data platform running smoothly , solving real-time challenges, and building automation that directly improves the reliability and efficiency of analytics for the organization.

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