Junior Data Engineer: ELT Pipelines, Data Vault 2.0

Jobtailor; Ciudad de México; Presencial; MXN 350.000 - 700.000; Jornada completa

Descripción de la vacante

Jobtailor is seeking a Data Engineer in Mexico City to translate legacy ETL into modern ELT pipelines using dbt and to support Data Vault 2.0 modeling. You will build and maintain data transformations, curate datasets, and assist in data integration and migration efforts.

You will collaborate on workflow development with Dagster, deploy and monitor workloads on OpenShift/Kubernetes, and contribute to pipeline health, data validation, and testing.

Formación

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent practical experience).
• Up to 3 years of experience in Data Engineering, BI, Database Development, or Software Engineering.
• Internship or university project experience is also considered.
• Experience with some of the following technologies is desirable: SQL and relational databases (SQL Server is a plus), Basic understanding of Python, Familiarity with dbt, Understanding of data modelling concepts, Basic knowledge of Git version control, Interest in cloud platforms, Kubernetes or OpenShift, Exposure to ETL / ELT concepts, Strong willingness to learn new technologies, Analytical thinking and problem-solving mindset, Structured and detail-oriented, Team player with good communication skills, Motivated to develop within a modern Data Engineering environment, Basic knowledge of Data Vault concepts, Familiarity with Kafka or event-driven architectures, Exposure to Docker or Kubernetes, Experience with CI/CD concepts, Interest in financial services or banking environments.

Responsabilidades

• Assist in translating legacy ETL processes into modern ELT pipelines using dbt
• Support the development of Data Vault 2.0 models
• Build and maintain data transformations and curated datasets
• Contribute to data integration and migration activities
• Support workflow development using Dagster
• Assist in deploying and monitoring workloads on OpenShift / Kubernetes
• Participate in pipeline monitoring and operational support
• Help implement automated data validation and testing
• Support reconciliation between legacy and modern platforms
• Investigate and resolve data quality issues together with senior team members
• Document technical solutions and operational procedures
• Learn and apply software engineering best practices
• Contribute ideas for improving performance and maintainability
• Participate in code reviews and team knowledge sharing

Conocimientos

Data Engineering

SQL

Python

Git

CI/CD

Data Vault

Data Modeling

ELT Concepts

Kafka

Docker

Kubernetes

OpenShift

dbt

SQL Server

Educación

Bachelor’s degree in CS/IT/Data Eng

Herramientas

dbt

OpenShift

Docker

Kafka

Kubernetes

Git

SQL Server

Descripción del empleo

Jobtailor is seeking a Data Engineer in Mexico City to translate legacy ETL into modern ELT pipelines using dbt and to support Data Vault 2.0 modeling. You will build and maintain data transformations, curate datasets, and assist in data integration and migration efforts.

You will collaborate on workflow development with Dagster, deploy and monitor workloads on OpenShift/Kubernetes, and contribute to pipeline health, data validation, and testing.