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