Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи вокруг автоматизации и управления Databricks описаны четко, а технический стек актуален. При этом формат контракта и работа в консалтинге могут ограничить долгосрочное владение одним продуктом.
Консалтинговый формат
?Работа по контракту
Актуальный стек
Четкие задачи
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Platform Engineer (Databricks): Automating Databricks Jobs, Workflows, DLT, SQL tasks, and Unity Catalog operations with an accent on infrastructure as code, governance, and reliable data pipelines. Focus on building CI/CD-driven provisioning, migrating to Unity Catalog, enforcing access controls, and designing data quality and incident response practices.
Location: Argentina; remote
Company
hirify.global is a global digital consultancy that builds integrated Growth Operating Systems by combining engineering, data, AI, and creative capabilities.
What you will do
Design, build, and maintain Databricks Jobs and Workflows for batch and SQL workloads, including retries, triggers, alerts, logging, and notifications.
Implement CI/CD pipelines and automate provisioning with Terraform, the Databricks SDK, and REST API 2.1.
Automate Unity Catalog provisioning, RBAC, SCIM integration, service principals, security controls, audit logging, and Delta Sharing.
Plan and execute Unity Catalog migrations from HMS or multi-workspace environments, including validation, cutover, and rollback.
Define reliability SLOs, data quality checks, schema evolution, checkpointing, replay, incident playbooks, and root-cause analyses.
Requirements
5–8 years of experience in data engineering, platform engineering, or cloud infrastructure roles.
Hands-on Databricks administration experience, including workspace management, cluster policies, access controls, and cost optimization.
Experience with Databricks workflow development, job orchestration, scheduling, and pipeline monitoring.
Proficiency with Terraform for infrastructure as code and automated provisioning.
Solid experience with AWS cloud services and architecture.
Good Python scripting skills for automation and tooling.
Good understanding of CI/CD practices and Git-based version control.
Exposure to or experience implementing Agentic AI solutions, Genie spaces and apps, or similar solutions.
Strong problem-solving skills and ability to work collaboratively in a fast-paced environment.
Excellent English communication skills required.
Culture & Benefits
Contractor engagement with a flexible and inclusive working environment.
Autonomy, resources, and opportunities to contribute to the work, culture, and values.
Emphasis on a kind, respectful, and fulfilling workplace.
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