Data Engineer – Azure/ETL.

This position is based in Guadalajara, Jalisco.

The Azure Data Engineer is a hands-on data engineering role responsible for designing, developing, and supporting production ETL/ELT pipelines that ingest, transform, validate, and deliver data from enterprise applications into Azure data platforms. The position requires strong hands-on experience with Azure Data Factory, SQL, Python, and Azure Data Lake technologies.This position is focused on data engineering, data integration, and data transformation rather than cloud infrastructure or application development.

Primary Duties and Responsibilities

- Design, develop, and maintain data pipelines and ETL/ELT processes to support business and reporting requirements.
- Build and support data integration solutions using Microsoft Azure data services and related technologies.
- Develop and maintain data models, databases, and data warehouse structures to ensure efficient data storage and retrieval.

Education and Experience Profile

- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related technical field required.
- Proven experience as a Data Engineer, with up to 5 years in a senior role.
- Languages:Advanced English.

Required Skills

- 3+ years of hands-on data engineering experience building ETL/ELT pipelines.
- Strong hands-on Azure Data Factory experience, including pipelines, activities, datasets, linked services, parameters, triggers, monitoring, error handling, and incremental data loads.
- Advanced SQL skills, including complex joins, CTEs, window functions, stored procedures, data transformations,



and query performance troubleshooting.
- Proficiency in Python for data engineering, including data ingestion, transformation, validation, automation, and error handling.
- Hands-on experience working with Azure Data Lake Storage (ADLS Gen2) and file formats such as Parquet, CSV, and JSON.
- Demonstrated experience ingesting data from multiple sources such as relational databases, REST APIs, flat files, SFTP, and enterprise applications.
- Strong understanding of ETL vs. ELT, incremental loading, CDC concepts, data quality validation, schema changes, and pipeline dependencies.
- Experience designing or supporting data warehouse/lakehouse solutions, including dimensional modeling and fact/dimension structures.
- Experience supporting production data pipelines, including monitoring failures, troubleshooting bad data, recovering failed loads, and preventing duplicate processing.
- Experience with Git and Azure DevOps or equivalent source-control and deployment practices.

Preferred Skills

- Experience with Microsoft Fabric, including Lakehouse, OneLake, notebooks, pipelines, or Warehouses.
- Experience with Azure Databricks or PySpark.
- Familiarity with Azure Synapse Analytics.
- Understanding of how engineered datasets are consumed by Power BI and semantic models.

We Offer

Competitive salary

Savings fund

Grocery vouchers

Above-statutory year-end bonus

Statutory vacation

Above-statutory vacation premium

Opportunity to be part of a integral company

Professional development opportunities.

Job Types: Full-time, Permanent

Pay: $70,000.00 per month

Work Location: In person

📌 Data Engineer – Azure/ETL (Guadalajara)
🏢 Importante empresa
📍 Guadalajara