Cloud Data Engineer: AWS, Pipelines & Real-Time Data Remote

Jobgether; México; Presencial; MXN 350.000 - 650.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Analytics-focused environment

Cloud-based data infrastructure

Descripción de la vacante

Jobgether in Mexico is seeking a Data Engineer to design, build and modernize a cloud-first data platform. You will design pipelines, manage data warehousing models, and work across AWS services while integrating legacy systems.

You will collaborate with analytics teams to ensure data reliability and quality, while contributing to real-time processing with Kafka and API integrations. This role is remote within Mexico and offers exposure to modern data infrastructure.

Formación

• 2+ years of professional experience in data engineering.
• Strong SQL and Python programming skills.
• Hands-on experience with AWS services (S3, Redshift, Glue, Lambda).
• Experience with Apache Airflow for data workflow orchestration.
• Strong understanding of data warehousing and data modeling.
• Experience building production-grade data pipelines with reliability, monitoring and data quality.
• Familiarity with relational and non-relational databases.
• Experience with APIs and data integrations.
• Strong written and verbal English communication.
• Experience with Kafka and real-time data processing is a plus.
• Experience with SQL Server and SSIS is a plus.

Responsabilidades

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data warehouse solutions and data models.
• Build data infrastructure on AWS while supporting legacy systems.
• Develop APIs and data integrations for data exchange.
• Contribute to real-time data pipelines using Apache Kafka.
• Automate, monitor, and optimize data workflows and operations.
• Collaborate with analytics teams to understand data requirements.
• Maintain documentation for pipelines and infrastructure.
• Support modernization of legacy data processes and architecture.

Conocimientos

SQL

Python

Data modeling

Data warehousing concepts

Pipelines design

English communication

Herramientas

AWS (S3, Redshift, Glue, Lambda)

Apache Airflow

Kafka

GitLab CI/CD

SSIS / SQL Server

Descripción del empleo

Jobgether in Mexico is seeking a Data Engineer to design, build and modernize a cloud-first data platform. You will design pipelines, manage data warehousing models, and work across AWS services while integrating legacy systems.

You will collaborate with analytics teams to ensure data reliability and quality, while contributing to real-time processing with Kafka and API integrations. This role is remote within Mexico and offers exposure to modern data infrastructure.