Remote Senior Data Engineer | Databricks & AWS Lakehouse

Caylent; México; A distancia; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Generous PTO

Certifications reimbursement

Peer bonuses

Laptop provided

Equipment stipend

Learning and development stipend

Global team

Descripción de la vacante

Caylent is seeking a Senior Data Engineer to join a cross-functional delivery team focused on AWS-based data management, ETL development, and lakehouse platforms. You will work hands-on to define RDS sources, develop ETL jobs, and manage Databricks environments, contributing to scalable data pipelines and migration projects.

The role emphasizes collaboration in agile ceremonies, communication of complex topics, and delivering robust data platform components with strong documentation and

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).

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 engineering

Spark/PySpark

Databricks

Python

AWS

CI/CD

Herramientas

Databricks

Delta Lake

Unity Catalog

Spark

Descripción del empleo

Caylent is seeking a Senior Data Engineer to join a cross-functional delivery team focused on AWS-based data management, ETL development, and lakehouse platforms. You will work hands-on to define RDS sources, develop ETL jobs, and manage Databricks environments, contributing to scalable data pipelines and migration projects.

The role emphasizes collaboration in agile ceremonies, communication of complex topics, and delivering robust data platform components with strong documentation and