Senior Data Platform Engineer - Snowflake/AWS (Remote)

AgileEngine

México

Remoto

MXN 900.000 - 1.300.000

Tempo pieno

9 ore fa
Candidati tra i primi
Generatore di candidature

Una candidatura fatta su misura per questo lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Remote work
Flexible hours
Learning budget

Descrizione del lavoro

AgileEngine seeks a Senior Data Engineer to operate and enhance a Snowflake-based enterprise data platform in a regulated healthcare environment. You will own end-to-end data pipelines, manage production Snowflake warehouses, and collaborate with Cloud/DevOps and Analytics teams.

The role requires 5+ years in data engineering, hands-on Snowflake and dbt, AWS data services, Argo Workflows on Kubernetes, Python, and SQL, with strict Pacific Time availability.

Competenze

  • 5+ years of professional data engineering experience.
  • Hands-on Snowflake design, performance, and troubleshooting in production.
  • Deep dbt experience for transformations, testing, lineage, and deployment.
  • Experience with AWS data services, especially S3, and ingestion patterns.
  • Experience with Argo Workflows on Kubernetes and orchestration tools.
  • Proficiency in Python or similar language for data tooling.
  • Strong data modeling, dependencies, schema evolution, and data quality.
  • Experience with observability, logging, alerting, and incident management for production data platforms.
  • Fluent English communication and ability to work with stakeholders.

Mansioni

  • Provide senior technical ownership for Data Platform operations during LatAm hours.
  • Manage Snowflake production and non-production environments, tuning and cost controls.
  • Administer data access with least-privilege and auditing.
  • Operate ingestion pipelines (Fivetran, HVR, and custom pipelines).
  • Design and maintain dbt models across RAW/ CURATED/ CONSUMPTION layers with testing and CI/CD.
  • Support S3 data-lake workflows and downstream Snowflake workloads.
  • Coordinate with Cloud/DevOps for Kubernetes-hosted workloads.
  • Define data quality, observability, and alerting standards.
  • Lead/participate in major data incidents and post-incident reviews.
  • Support Tableau Cloud operations when needed.
  • Identify standardization and automation opportunities, and drive cost improvements.
  • Follow service-management workflows for incidents and changes.
  • Create runbooks and knowledge-transfer materials.
  • Mentor mid-level engineers and ensure effective handoffs.

Conoscenze

Snowflake
dbt
AWS data services
Argo Workflows on Kubernetes
Python
SQL
Data modeling
Data quality
Observability
Incident management
English communication
On-call readiness

Strumenti

Fivetran
HVR

Descrizione del lavoro

AgileEngine seeks a Senior Data Engineer to operate and enhance a Snowflake-based enterprise data platform in a regulated healthcare environment. You will own end-to-end data pipelines, manage production Snowflake warehouses, and collaborate with Cloud/DevOps and Analytics teams.

The role requires 5+ years in data engineering, hands-on Snowflake and dbt, AWS data services, Argo Workflows on Kubernetes, Python, and SQL, with strict Pacific Time availability.

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