Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will have hands-on experience with modern data tools and platforms, including Snowflake, SQL, Python, DBT, and Airflow, and will play a key role in enabling data-driven decision-making across the organization.

Key Responsibilities

- Design, develop, and optimize scalable data pipelines using Python and SQL
- Build and manage data models and transformations using DBT
- Develop and maintain workflows and scheduling using Airflow
- Work with Snowflake for data warehousing, performance tuning, and data optimization
- Ensure data quality, integrity, and reliability across all data systems
- Collaborate with cross-functional teams including Analytics, BI, and Data Science teams
- Monitor and troubleshoot data pipelines and workflows to ensure timely delivery




- Implement best practices for data governance, security, and compliance

Required Skills & Qualifications

- Strong experience in SQL and data modeling
- Proficiency in Python for data engineering tasks
- Hands-on experience with Snowflake (data warehousing, optimization, performance tuning)
- Experience working with DBT for transformation and data modeling
- Experience with workflow orchestration tools like Airflow
- Good understanding of ETL/ELT processes and data pipeline architecture
- Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
- Strong problem-solving and analytical skills
- Excellent Communication skills
- Ability to effectively collaborate with integral stakeholders and teams

📌 Senior Data Engineer (Ciudad de México)
🏢 EXL
📍 Ciudad de México