Data Engineer: Cloud ETL Pipelines & Data Quality

UL Solutions External Career Site; México; On-site; MXN 550,000 - 900,000; Full time

Job summary

UL Solutions External Career Site seeks a data engineer to profile, analyze, and validate source data to understand structure, quality, and transformation requirements. You will design, develop, test, and maintain data pipelines across cloud platforms and data warehouses to deliver reliable data products.

The role emphasizes building scalable ETL/ELT solutions, writing SQL, procedures, and reusable components, implementing data quality checks, monitoring, and documentation while collaborating

Responsibilities

• Profile, analyze, and validate source data to understand structure, quality, business meaning, and transformation requirements.
• Design, develop, test, and maintain data pipelines that ingest, transform, and deliver data from internal and external sources.
• Build scalable ETL/ELT solutions across cloud data platforms, data warehouses, lakehouse patterns, and data integration tools.
• Develop and optimize SQL, stored procedures, scripts, and reusable data engineering components.
• Implement data quality checks, reconciliation controls, error handling, logging, lineage capture, and pipeline monitoring.
• Apply automated testing, version control, code review, continuous integration, and deployment practices.
• Monitor pipeline execution, investigate failures, resolve data issues, and support root cause analysis.
• Collaborate with business users, data owners, data stewards, architects, security teams, and platform engineers.
• Document technical designs, mappings, transformation logic, operational procedures, dependencies, and support information.
• Read and follow the Underwriters Laboratories Code of Conduct and all physical and digital security practices.

Job description

UL Solutions External Career Site seeks a data engineer to profile, analyze, and validate source data to understand structure, quality, and transformation requirements. You will design, develop, test, and maintain data pipelines across cloud platforms and data warehouses to deliver reliable data products.

The role emphasizes building scalable ETL/ELT solutions, writing SQL, procedures, and reusable components, implementing data quality checks, monitoring, and documentation while collaborating