Senior Data Engineer, Databricks on AWS Lakehouse

caylent; Argentina; Presencial; ARS 178.643.000 - 267.965.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Generous holidays and flexible PTO

Competitive phantom equity

Paid for exams and certifications

Peer bonus awards

State of the art laptop and tools

Equipment & Office Stipend

Individual professional development

Descripción de la vacante

Caylent is an AI-first cloud services company enabling organizations to turn ambitious ideas into measurable business impact. As a fully remote global team, Caylent drives modern data platforms on AWS, Databricks, and lakehouse technologies to deliver scalable ETL, data warehouses, and analytics capabilities.

You will work in a cross-functional team, applying best practices and delivering production-grade data solutions.

Formación

• 4+ years of RDBMS or big data engineering experience.
• 2+ years of AWS-based implementations.
• 1+ years of hands-on Databricks experience (or equivalent lakehouse platform).
• Upper-Intermediate English (minimum B2).

Responsabilidades

• Deliver complex data platform components or migration solutions independently
• Troubleshoot performance, scalability, and reliability issues
• Contribute to solution design and engineering standards
• Communicate technical topics clearly to peers and stakeholders
• Produce high-quality documentation and implementation reviews

Conocimientos

Data platform development

Spark/PySpark

Databricks

Python

CI/CD

Infra-as-code

Security fundamentals

Cost optimization

Herramientas

Databricks

Delta Lake

Unity Catalog

Python tooling

AWS

Descripción del empleo

Caylent is an AI-first cloud services company enabling organizations to turn ambitious ideas into measurable business impact. As a fully remote global team, Caylent drives modern data platforms on AWS, Databricks, and lakehouse technologies to deliver scalable ETL, data warehouses, and analytics capabilities.

You will work in a cross-functional team, applying best practices and delivering production-grade data solutions.