Cloud Data Engineer for AI-Driven Analytics

Slalom; Bogotá ciudad; Híbrido; COP 9.000.000 - 100.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work environment

Accessibility commitment

Descripción de la vacante

Slalom is seeking a Data Engineer in Bogotá to collaborate with cross-functional teams and deliver scalable data solutions on AWS, Azure, and GCP. You will design, build, and optimize data platforms, and contribute to AI-driven data initiatives in a hybrid work setting.

Bring 4+ years of hands-on data engineering experience, familiarity with modern data technologies, and a proactive, collaborative mindset to accelerate digital transformation for clients.

Formación

• +4 years of hands-on experience designing, building, and optimizing data engineering solutions in production environments.

Responsabilidades

• Designing and implementing components of clients’ data platform solutions, typically under the direction of a Solution Architect.
• Participating in design sessions and translating complex requirements into actionable development tasks.
• Ensuring timely, high-quality delivery of development items for yourself and the data engineers you support.
• Building solutions using modern data technologies: cloud data warehouses, distributed processing engines, event streaming platforms, and more.
• Working across data engineering disciplines, including streaming/real-time data, modern data platforms, data architecture, and AI-accelerated data engineering.

Conocimientos

Python

Java

Herramientas

Amazon Redshift

Snowflake

Google BigQuery

Azure Synapse Analytics

Amazon EMR

Apache Spark

Presto

Databricks

Amazon Kinesis

Apache Kafka

Apache Airflow

dbt

Dagster

Azure Data Factory

DynamoDB

Cosmos DB

MongoDB

Kubernetes

Amazon ECS

Amazon SageMaker

Azure ML Studio

Descripción del empleo

Slalom is seeking a Data Engineer in Bogotá to collaborate with cross-functional teams and deliver scalable data solutions on AWS, Azure, and GCP. You will design, build, and optimize data platforms, and contribute to AI-driven data initiatives in a hybrid work setting.

Bring 4+ years of hands-on data engineering experience, familiarity with modern data technologies, and a proactive, collaborative mindset to accelerate digital transformation for clients.