Senior Data Engineer – AWS & Databricks Lead

Next Frontier Capital; Buenos Aires; Presencial; ARS 183.450.000 - 275.175.000; Jornada completa

Descripción de la vacante

JPMorgan Chase Corporate Sector seeks a Senior Data Engineer (Data Engineer III) focused on AWS and Databricks to build scalable data pipelines and governance. You will lead design, implement, and optimize ETL processes, mentor junior engineers, and collaborate with FinOps for cloud cost strategies.

You will work across data ingestion, storage, and analytics with emphasis on secure, auditable, and resilient data architectures.

Formación

• Strong degree in computer science, engineering, or related field.
• Extensive data lifecycle experience from ingestion to analytics.
• Advanced SQL and working knowledge of NoSQL databases.
• Hands-on AWS data engineering (Lambda, S3, Redshift, RDS, DynamoDB).
• Experience with Terraform or CloudFormation for IaC.
• Proven data governance and security implementation in the cloud.
• Ability to mentor engineers and lead projects with autonomy.
• Experience validating AI-assisted outputs and data handling.

Responsabilidades

• Design, develop, and maintain scalable ETL pipelines in AWS and Databricks.
• Optimize Spark/Delta Lake workflows and data processing.
• Integrate data from diverse sources into Databricks and AWS data stores.
• Collaborate with FinOps to apply cost optimization strategies.
• Mentor junior engineers and guide best practices.
• Ensure data governance, security, and access controls.

Conocimientos

SQL proficiency

NoSQL experience

Python

PySpark

AWS data services

Databricks

Terraform/CloudFormation

Data governance

Security controls

Mentorship

Educación

Bachelor's or Master's in CS/Engineering

Herramientas

Databricks Unity Catalog

Airflow

Spark

Descripción del empleo

JPMorgan Chase Corporate Sector seeks a Senior Data Engineer (Data Engineer III) focused on AWS and Databricks to build scalable data pipelines and governance. You will lead design, implement, and optimize ETL processes, mentor junior engineers, and collaborate with FinOps for cloud cost strategies.

You will work across data ingestion, storage, and analytics with emphasis on secure, auditable, and resilient data architectures.