Senior Data Engineer: Snowflake, DBT & Airflow Pipelines

ExlService Holdings, Inc.; México; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

ExlService Holdings, Inc. in Mexico seeks a Data Engineer to design, build, and optimize scalable data pipelines using Python and SQL. You will develop data models with DBT, orchestrate workflows with Airflow, and leverage Snowflake for warehousing and performance.

The role emphasizes data quality, reliability, and collaboration with Analytics, BI, and Data Science teams, with emphasis on governance, security, and compliance.

Formación

• Experience designing and optimizing data pipelines.
• Strong SQL and data modeling skills.
• Proficiency in Python for data engineering tasks.
• Hands-on Snowflake experience and performance tuning.
• Experience with DBT and data transformations.
• Familiarity with Airflow for workflow orchestration.
• Understanding ETL/ELT architectures.
• Knowledge of AWS/Azure/GCP is a plus.
• Excellent communication and cross-team collaboration.

Responsabilidades

• Design, develop, and optimize scalable data pipelines using Python and SQL
• Build and manage data models and transformations with DBT
• Develop and maintain workflows with Airflow
• Work with Snowflake for warehousing, tuning, and optimization
• Ensure data quality, integrity, and reliability across data systems
• Collaborate with Analytics, BI, and Data Science teams
• Monitor pipelines and troubleshoot to ensure timely delivery
• Implement data governance, security, and compliance practices

Conocimientos

SQL

Data Modeling

Python

Snowflake

DBT

Airflow

ETL/ELT

Cloud Platforms

Communication

Herramientas

Snowflake

DBT

Airflow

Descripción del empleo

ExlService Holdings, Inc. in Mexico seeks a Data Engineer to design, build, and optimize scalable data pipelines using Python and SQL. You will develop data models with DBT, orchestrate workflows with Airflow, and leverage Snowflake for warehousing and performance.

The role emphasizes data quality, reliability, and collaboration with Analytics, BI, and Data Science teams, with emphasis on governance, security, and compliance.