Senior Data Engineer SOL-1634

SOFTGIC S.A.S.

Job Location:

Mexico City - Mexico

Monthly Salary: MXN 4 - 4

Experience Required: 1-3years

Posted on: 15 days ago

Vacancies: 1 Vacancy

Job Summary

This is a remote position.

Job description:

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 companys 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:

Bachelors or Masters 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

Dagster).

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.

Required Education:

Senior Data Engineer

This is a remote position. Job description: 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 ...