Databricks Data Platform Engineer - Build Scalable Pipelines

AgileEngine, LLC.; Buenos Aires; Presencial; ARS 137.091.000 - 198.020.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Descripción de la vacante

AgileEngine, LLC. is seeking a Data Platform Engineer to design, build, and sustain scalable data pipelines on the Databricks platform. You will architect and deliver high-quality code while collaborating with cross-functional teams to ensure reliability and performance.

The role emphasizes Databricks with Unity Catalog, Postgres/Aurora administration, and cloud-native architectures, offering opportunities to impact multiple industries with modern software practices.

Formación

• 3 years of software development experience.
• Databricks platform experience with Unity Catalog.
• Experience administering RDS Postgres and Aurora databases; knowledge of Microsoft SQL Server.
• Proficiency with AWS, Serverless, Event-Driven Architecture, SOA, Microservices, CI/CD, Infrastructure as Code.
• Strong SDLC discipline: coding standards, architecture/design patterns, code reviews, version control, builds, testing, operations.
• Experience with Agile/Scrum and DevSecOps practices.

Responsabilidades

• Architect, design, and deliver high-quality code independently following best practices.
• Make well-reasoned design decisions and trade-offs.
• Diagnose and fix production issues.
• Collaborate with the development lead to raise issues and anticipate barriers.
• Build scalable enterprise applications with robust front-end and back-end architectures.
• Develop scalable, highly available components with a strong understanding of systems.
• Explore proofs of concept, tests, and external research.
• Participate in special projects and other duties as assigned.

Descripción del empleo

AgileEngine, LLC. is seeking a Data Platform Engineer to design, build, and sustain scalable data pipelines on the Databricks platform. You will architect and deliver high-quality code while collaborating with cross-functional teams to ensure reliability and performance.

The role emphasizes Databricks with Unity Catalog, Postgres/Aurora administration, and cloud-native architectures, offering opportunities to impact multiple industries with modern software practices.