Snowflake Data Engineer - Hybrid (DBT + AWS ETL)

Capgemini; Colombia; Presencial; COP 253.699.000 - 334.553.000; Jornada completa

Descripción de la vacante

Capgemini Fort Mill, SC is seeking a data engineering professional to design, develop, and maintain scalable ETL pipelines using Snowflake, AWS services, Python, and DBT. You will collaborate with data scientists and analysts to meet data requirements and ensure reliable data delivery.

The role emphasizes performance, scalability, and data quality, with hands-on work on AWS Glue, Airflow, and serverless components. A strong background in SQL and data warehousing is required.

Formación

• Bachelors degree in Computer Science, IT, or related field.
• 3+ years in data engineering with Snowflake AWS and DBT.
• Strong SQL and data warehousing knowledge.
• Experience with Python and ETL pipelines.
• Certifications are a plus.

Responsabilidades

• Design, develop and maintain scalable ETL pipelines.
• Collaborate with data scientists and analysts.
• Optimize data workflows for performance and reliability.
• Troubleshoot data-related issues.
• Document data architectures and processes.
• Stay updated with AWS services and best practices.

Conocimientos

Snowflake

AWS

Python

DBT

ETL pipelines

SQL

Airflow

HVR

Fivetran

Snowpark

Lambda

Educación

Bachelor's degree in Computer Science or related field

Bachelor's degree in Information Technology or related field

Herramientas

Snowflake

AWS Glue

DBT

Airflow

Fivetran

HVR

Python

Snowpark

Lambda

Descripción del empleo

Capgemini Fort Mill, SC is seeking a data engineering professional to design, develop, and maintain scalable ETL pipelines using Snowflake, AWS services, Python, and DBT. You will collaborate with data scientists and analysts to meet data requirements and ensure reliable data delivery.

The role emphasizes performance, scalability, and data quality, with hands-on work on AWS Glue, Airflow, and serverless components. A strong background in SQL and data warehousing is required.