Senior Data Engineer - SOL-1634

Softgic S.; Colombia; Presencial; COP 142.734.798 - 214.102.198; Jornada completa

Descripción de la vacante

Softgic S. is looking for a Senior Data Engineer to design and maintain scalable data systems supporting analytics and machine learning. The role involves working in a hybrid SaaS and on-premise environment, with a focus on optimizing data flow through the Elastic Hierarchy framework.

The ideal candidate will have a Bachelor's or Master's degree in a related field and strong Python development skills, along with experience in the AWS ecosystem and tools like Snowflake and MongoDB.

Formación

• Strong proficiency in Python development.
• Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift, and RDS.
• Hands-on experience with Snowflake, MongoDB, and PostgreSQL.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
• Process and integrate data from multiple formats and sources, including JSON, CSV, and XML.
• Build and manage data transformations and orchestration workflows.

Conocimientos

Python development

AWS data ecosystem

Snowflake

MongoDB

PostgreSQL

DBT

Data orchestration tools

Educación

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Herramientas

AWS services (S3, Glue, Lambda, EMR, EC2, Redshift, RDS)

Airflow

Prefect

Dagster

Descripción del empleo

We are seeking a Senior Data Engineer to design, build, and maintain scalable data systems that support analytics and machine learning initiatives. This role operates within a SaaS and on-premise hybrid deployment environment and plays a key role in structuring and optimizing data flow across the platform. A core focus will be extending and operating the company’s Elastic Hierarchy framework.

Schedule: Full-time

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
• Process and integrate data from multiple formats and sources, including JSON, CSV, and XML.
• Build and manage data transformations and orchestration workflows using DBT and tools such as Airflow, Prefect, or Dagster.
• Enforce data governance, quality, and security standards across data systems.
• Extend, maintain, and optimize the Elastic Hierarchy data framework.
• Collaborate closely with analytics, machine learning, and product teams to deliver reliable, business-ready datasets.
• Support data operations in SaaS and on-premise hybrid environments.

Requirements

Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Strong proficiency in Python development.
• Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift, and RDS.
• Hands-on experience with Snowflake, MongoDB, and PostgreSQL.
• Experience using DBT and at least one data orchestration tool (Airflow, Prefect, or
• Knowledge of data mapping, attribution, and reconciliation processes.
• Ability to work effectively in hybrid and on-premise deployment environments.
• Strong English communication skills, both written and verbal.