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

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