Description

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

Responsibilities
Lead data engineering strategy across projects. Drive innovation in practices and optimization. Represent team in executive meetings. Develop long-term data plans.

Qualifications
Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.

📌 Senior Data Engineer (México)
🏢 EXL
📍 México