Data Engineer
UL Solutions6 days ago
Makati City, PhilippinesMid Level
Responsibilities
- Profile, analyze, and validate source data to understand its structure, quality, business meaning, and transformation requirements.
- Design, develop, test, and maintain data pipelines for ingesting, transforming, and delivering internal and external data.
- 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.
- Monitor pipeline execution, investigate failures, resolve data issues, and support root cause analysis.
- Apply automated testing, version control, code review, continuous integration, and deployment practices.
- 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.
- Follow the Underwriters Laboratories Code of Conduct and physical and digital security practices.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, Mathematics, or a related discipline, or an equivalent combination of education and experience.
- At least 3 years of experience designing, developing, testing, and supporting data pipelines, ETL/ELT processes, integrations, or analytics data solutions.
- Strong SQL expertise, including query development, transformation logic, troubleshooting, optimization, and performance tuning.
- Proficiency in Python development for data engineering and analytics solutions.
- Experience building and maintaining scalable ETL/ELT data pipelines on modern data platforms.
- Hands-on experience with cloud data technologies and platforms such as Microsoft Azure, Snowflake, or SQL Server.
- Understanding of dimensional data modeling methodologies, curated datasets, semantic layers, and analytics-ready data products.
- Knowledge of data profiling, data quality, validation, and management of structured, semi-structured, and unstructured data.
- Experience with Git-based version control, code reviews, automated testing, CI/CD pipelines, and Agile delivery practices.
- Understanding of secure data handling, governance, lineage, privacy, and access control principles.
- Strong analytical thinking, problem-solving, root-cause analysis, collaboration, communication, attention to detail, and willingness to learn new technologies and practices.
About UL Solutions
UL Solutions is a public safety and compliance company that provides testing, inspection, and certification services, plus advisory and software, to manufacturers and infrastructure operators worldwide. It earns primarily from service fees and software subscriptions, with the UL Mark signaling product conformity in global markets. Founded in 1894 and headquartered in Northbrook, Illinois, it operates in 100+ countries and trades on the NYSE under the ticker ULS.