Job Summary: We are looking for a highly experienced Senior Data Engineer with experience in designing and building scalable cloud-based data solutions. The idóneo candidate should have strong hands-on expertise in Snowflake, DBT, AWS, and Python, with experience developing modern data pipelines and data warehouse solutions. Key Responsibilities: Design, develop, and optimize data pipelines and ETL/ELT workflows. Build and maintain scalable data models in Snowflake using dbt. Develop Python-based data processing and automation solutions. Leverage AWS services such as S3, Glue, Lambda, Redshift, and EMR to build cloud-native data platforms. Optimize data performance, ensure data quality, and implement best practices. Collaborate with cross-functional teams to deliver reliable and scalable data solutions. Mentor junior engineers and participate in technical design discussions. Mandatory Skills: Strong expertise in Snowflake Hands-on experience with DBT Advanced Python programming AWS (S3, Glue, Lambda, Redshift, EMR, Athena) Advanced SQL and Data Warehousing concepts Experience with ETL/ELT pipeline development Git and CI/CD tools Strong communication and stakeholder management skills

📌 Architect (ATC) (Guadalajara)
🏢 Virtusa
📍 Guadalajara