Senior Data Engineer

ExlService Holdings, Inc.; México; On-site; MXN 600,000 - 900,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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

Skills

SQL

Data Modeling

Python

Snowflake

DBT

Airflow

ETL/ELT

Cloud Platforms

Communication

Tools

Snowflake

DBT

Airflow

Job description

Key Responsibilities

• Design, develop, and optimize scalable data pipelines using Pythonand SQL
• Build and manage data models and transformations using DBT
• Develop and maintain workflows and scheduling using Airflow
• Work with Snowflakefor 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 SQLand data modeling
• Proficiency in Pythonfor data engineering tasks
• Hands-on experience with Snowflake(data warehousing, optimization, performance tuning)
• Experience working with DBTfor 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 global stakeholders and teams