Cloud Data Engineer: Scalable ETL Pipelines & Data Quality

UL Solutions

Mexico

Hybrid

MXN 900,000 - 1,200,000

Full time

2 days ago
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Job summary

UL Solutions is seeking a Data Engineer to design, build, and optimize data pipelines across cloud platforms such as Snowflake and Azure. You will ensure data quality, implement governance, and collaborate with data owners and engineers to deliver analytics-ready data products.

The role requires strong SQL skills, ETL/ELT development experience, and proficiency with modern data tooling in a hybrid environment in Mexico. You will contribute to scalable, secure, and compliant data solutions.

Qualifications

  • Bachelor’s degree or equivalent in a data-related field.
  • Experience designing, developing, testing, and supporting data pipelines.
  • Strong SQL skills including optimization and troubleshooting.
  • Experience with cloud data platforms and data warehouses/lakehouse tech.
  • Understanding of profiling, quality, structured/semi/unstructured data.
  • Familiarity with dimensional modeling and analytical data products.
  • Git-based version control, code review, testing, CI/CD, and agile delivery.

Responsibilities

  • Profile, analyze, and validate source data to understand structure, quality, and transformation needs.
  • Design, develop, test, and maintain data pipelines ingesting data from internal/external sources.
  • Build scalable ETL/ELT solutions across cloud platforms and data warehouses/lakehouse models.
  • Develop and optimize SQL, stored procedures, and data engineering components.
  • Implement data quality checks, reconciliation controls, and pipeline monitoring.
  • Apply automated testing, version control, CI/CD, and deployment practices.
  • Monitor pipelines, troubleshoot failures, and support root cause analysis.
  • Collaborate with business users, data owners, stewards, architects, and security teams.
  • Document technical designs, mappings, and operational procedures.
  • Follow UL Code of Conduct and security practices.

Skills

SQL
Cloud data platforms
Data profiling & quality
Dimensional modeling
ETL/ELT design
Git version control
CI/CD & automated testing
AGILE delivery
Security, governance & privacy
Stakeholder communication

Education

Bachelor’s degree in CS/IS/Engineering or related

Tools

Snowflake
Azure data services
SQL Server

Job description

UL Solutions is seeking a Data Engineer to design, build, and optimize data pipelines across cloud platforms such as Snowflake and Azure. You will ensure data quality, implement governance, and collaborate with data owners and engineers to deliver analytics-ready data products.

The role requires strong SQL skills, ETL/ELT development experience, and proficiency with modern data tooling in a hybrid environment in Mexico. You will contribute to scalable, secure, and compliant data solutions.

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