Senior Data Engineer — Snowflake/dbt/Python | Flexible Work

Kunai, part of the PwC Network; México; Presencial; MXN 720.000 - 1.100.000; Jornada completa

Descripción de la vacante

Kunai, part of the PwC Network, seeks a Senior Data Engineer in Mexico to design, build, and optimize data pipelines for analytics in financial services. You will tackle ETL workflows using SQL, Snowflake, dbt, and Python, ensuring robust data models and scalable infrastructure.

The role emphasizes collaboration with analysts, data scientists, and business stakeholders. You will rapidly learn new data models, drive data quality, and maintain reliable data stores, while supporting BI efforts and

Formación

• Extensive experience with SQL and modern data warehousing solutions.
• Hands-on experience with dbt for data transformation.
• Strong Python programming for data engineering tasks.
• Proven track record designing scalable ETL pipelines.

Responsabilidades

• Design, build, and optimize data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python.
• Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into scalable data models.
• Rapidly learn and familiarize yourself with existing and new data models to maintain and enhance data infrastructure.
• Ensure data quality, consistency, and reliability across pipelines and data stores.
• Monitor, troubleshoot, and improve performance of data pipelines and query workloads

Conocimientos

SQL

ETL processes

Educación

Bachelor's Degree

Herramientas

Snowflake

dbt

Python

Descripción del empleo

Kunai, part of the PwC Network, seeks a Senior Data Engineer in Mexico to design, build, and optimize data pipelines for analytics in financial services. You will tackle ETL workflows using SQL, Snowflake, dbt, and Python, ensuring robust data models and scalable infrastructure.

The role emphasizes collaboration with analysts, data scientists, and business stakeholders. You will rapidly learn new data models, drive data quality, and maintain reliable data stores, while supporting BI efforts and