Databricks Data Platform Engineer | Scalable Pipelines

AgileEngine, LLC.

Monterrey

Presencial

MXN 350.000 - 520.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive USD-based compensation

Descripción de la vacante

AgileEngine is seeking a Data Platform Engineer to design, build, and support scalable data pipelines on the Databricks platform. The role emphasizes independent coding, strong design decisions, and proactive issue resolution.

You will work with AWS cloud technologies and modern software engineering practices to deliver enterprise-grade data solutions for Fortune 500 brands. The position values collaboration, continuous improvement, and rigorous testing.

Formación

  • 3 years of software development experience
  • Experience with the Databricks platform and Unity Catalog
  • Experience administering RDS Postgres and Aurora databases with knowledge of SQL Server
  • Cloud technnologies including AWS, Serverless, EDA, SOA, Microservices, CI/CD, IaC
  • Good software engineering practices across SDLC
  • Experience in Agile/Scrum and DevSecOps practices
  • Bachelor’s degree or equivalent experience

Responsabilidades

  • Architect, design, and deliver high-quality code independently following best practices.
  • Diagnose and fix production issues.
  • Develop scalable, high-performance components across front-end and back-end architectures.
  • Communicate design decisions and potential blockers to leads.
  • Participate in special projects as needed.

Conocimientos

Software development

Educación

Bachelor's degree

Herramientas

Databricks platform
Unity Catalog
RDS Postgres
Aurora
Microsoft SQL Server
AWS
Serverless
Event-Driven Architecture
CI/CD
Infrastructure as Code

Descripción del empleo

AgileEngine is seeking a Data Platform Engineer to design, build, and support scalable data pipelines on the Databricks platform. The role emphasizes independent coding, strong design decisions, and proactive issue resolution.

You will work with AWS cloud technologies and modern software engineering practices to deliver enterprise-grade data solutions for Fortune 500 brands. The position values collaboration, continuous improvement, and rigorous testing.

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