Senior Databricks DevOps Engineer — Remote AWS Automation

FullStack

Rosario

A distancia

ARS 181.094.000 - 271.641.000

Jornada completa

Hace 9 días
Generador de candidaturas

Transforma esta oferta en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

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Ventajas ofrecidas por este puesto de trabajo

Competitive pay
100% remote work
Continuing education opportunities
Grow your career

Descripción de la vacante

FullStack is seeking a Senior DevOps Engineer (Databricks) to join our talent network and work on flexible, project-based development engagements with U.S. clients. You will integrate into our client's team and collaborate closely with designers and engineers daily.

We value 5+ years in Data/Platform/DevOps engineering, advanced English, a four-year degree, and hands-on Databricks experience on AWS. Proficiency in Python, SQL, Spark, and GitHub Actions is required.

Formación

  • 5+ years of professional experience in Data Engineering, Platform Engineering, or DevOps Engineering.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Extensive experience administering and optimizing Databricks on AWS in enterprise environments.
  • Proven experience with Terraform and Infrastructure as Code for cloud infrastructure automation.
  • Hands-on experience automating Databricks jobs, clusters, and serving endpoints using REST APIs and Infrastructure as Code.
  • Strong experience designing and maintaining GitHub Actions workflows and reusable CI/CD frameworks across multiple repositories.
  • Proficiency in Python and SQL, with a solid understanding of data engineering workflows.
  • Strong understanding of Apache Spark and distributed data processing.
  • Experience implementing automated code quality and security checks using tools such as SQLFluff, PyLint, and GitHub Actions.
  • Proven experience establishing SDLC guardrails, branch protection, code ownership, approval workflows, deployment controls, and secure secret management.
  • Hands-on experience managing Databricks Unity Catalog, including access controls and data lineage.
  • Strong understanding of AWS IAM, Databricks RBAC, identity providers, and least-privilege access principles.
  • Experience implementing monitoring, logging, alerting, and observability for cloud and data platforms.
  • Experience designing scalable, reliable, and cost-efficient multi-environment data platform architectures.
  • Familiarity with Snowflake and modern data engineering platforms is a plus.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Responsabilidades

  • Integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

Conocimientos

Data Engineering
Platform Engineering
DevOps Engineering
Advanced English
Python
SQL
Apache Spark
REST APIs
CI/CD
Terraform
GitHub Actions
AWS
Databricks
RBAC / IAM

Educación

Four-year college degree

Herramientas

Terraform
Databricks
GitHub Actions

Descripción del empleo

FullStack is seeking a Senior DevOps Engineer (Databricks) to join our talent network and work on flexible, project-based development engagements with U.S. clients. You will integrate into our client's team and collaborate closely with designers and engineers daily.

We value 5+ years in Data/Platform/DevOps engineering, advanced English, a four-year degree, and hands-on Databricks experience on AWS. Proficiency in Python, SQL, Spark, and GitHub Actions is required.

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