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Роль четко описана и сосредоточена на развитии масштабируемой платформы Databricks, хотя в консалтинговой модели проекты могут меняться от клиента к клиенту.
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Актуальные технологии
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Platform Engineer (Databricks): Industrializing Databricks as a standardized, automated, observable, and reliable corporate data platform with an accent on Infrastructure as Code, CI/CD, self-service capabilities, and operational reliability. Focus on automating workspace and resource provisioning, building reusable onboarding patterns, implementing observability and recovery practices, and optimizing platform scalability and cost.
Location: Buenos Aires, Argentina; office visit required once a week
Company
Avenga is an international engineering firm helping businesses operate with AI at the core, with more than 6,000 experts worldwide.
What you will do
Industrialize Databricks as a standardized, automated, observable, and reliable corporate data platform.
Design and maintain CI/CD pipelines and Infrastructure as Code solutions using Terraform and other automation tools.
Automate Databricks workspace, permissions, compute resources, service principals, platform policies, and user or application onboarding.
Create reusable templates, frameworks, engineering standards, and self-service capabilities for data products and pipelines.
Improve reliability, scalability, performance, capacity management, and cloud cost optimization through FinOps practices.
Requirements
5+ years of experience in Data Platform Engineering, DataOps, DevOps, Site Reliability Engineering, or similar roles.
Hands-on experience with Databricks in enterprise-scale environments.
Strong experience implementing and managing CI/CD pipelines and Git-based development workflows.
Proven experience with Infrastructure as Code; Terraform is required, or equivalent technologies may be considered.
Experience with cloud platforms, identity and access management, networking, secrets management, service principals, and infrastructure automation.
Bachelor’s degree in Engineering, Information Technology, Computer Science, Information Systems, or a related field.
English at intermediate level or higher.
Ability to visit the Buenos Aires office once a week.
Culture & Benefits
Respectful and inclusive environment with equal opportunities regardless of personal characteristics.
Work focused on AI-native engineering and real-world impact across industries, technologies, and markets.
Application process includes a talent call, technical interview, and, for some roles, a customer interview.
Hiring process
Send a CV describing core skills and career interests.
Participate in a talent call, technical interview, and potentially a customer interview.
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