Job description
Requirements
- Required – Technical Skills
- Experience developing and maintaining ETL/ELT pipelines on cloud-based data platforms.
- Strong knowledge of SQL, data modeling, and data transformation practices.
- Hands-on experience with Python, Snowflake, AWS Glue, dbt, SAP DataSphere, SAP HANA, and Talend.
- Experience building scalable and maintainable data solutions.
- Knowledge of data pipeline orchestration, ingestion, and transformation processes.
- Experience using GitHub and CI/CD best practices.
- Required – Soft Skills
- Strong analytical and problem-solving skills.
- Attention to detail and commitment to data quality.
- Effective communication and collaboration skills.
- Ability to work independently in cross-functional environments.
- Continuous improvement mindset.
Nice to Have
(Technical Skills)
- Knowledge of Power BI.
- Experience supporting analytics, reporting, or self-service BI initiatives.
- Familiarity with data governance, lineage, and semantic modeling.
- Understanding of AI/ML data readiness and data consumption patterns.
- Experience with cloud integration patterns and modern data ecosystems.
Responsibilities
(Key Activities)
- Design, build, and maintain scalable ETL/ELT pipelines.
- Develop and manage data ingestion workflows from multiple data sources.
- Create reusable transformation layers and data models using dbt and SQL.
- Ensure data quality, reliability, traceability, and governance.
- Monitor and optimize data pipelines for performance and scalability.
- Collaborate with Data Architects, BI Engineers, Analysts, and business teams.
- Apply engineering best practices, version control, testing, and CI/CD processes.
- Deliver trusted datasets to support analytics, reporting, and future AI initiatives. Required Languages
- English – Advanced Additional Information
- Travel Requirements
- Not applicable.
- Special Conditions
- Guadalajara, Mexico or Colombia.
- Long-term assignment.