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
#J-*****-Ljbffr

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