Lead Data Engineer — Cloud Data Stack & Mentorship

Confiz; Región Centro; Presencial; MXN 900 000 - 1 500 000; Tempo integral

Resumo da oferta

Confiz is seeking a Principal Data Engineer with 5+ years of hands-on experience in the modern cloud data stack. The role focuses on building scalable data solutions using Databricks, PySpark, DBT, and Snowflake.

You will lead a team of data engineers, drive architectural decisions, and ensure data quality and pipeline observability in an agile environment. Strong Python/SQL skills and cloud platform experience are required.

Qualificações

• Bachelor’s degree in Computer Science or related field.
• Experience with Databricks and PySpark for large-scale data processing.
• Proficiency with DBT development and CI/CD integration.
• Hands-on with Astronomer/Airflow for orchestration and Cosmos integration.
• Strong Snowflake data modelling, performance tuning, and cost governance.
• Proficient in Python and SQL; modular, tested code and code reviews.

Responsabilidades

• Build scalable data pipelines using DBT and Astronomer/Airflow.
• Develop modular DBT transformations (staging → mart) with testing and docs.
• Orchestrate end-to-end workflows with Cosmos-triggered DBT models.
• Design and optimize Snowflake schemas and queries for analytics.
• Enforce data quality and observability in pipelines.
• Write clean Python and SQL; participate in code reviews.
• Lead and mentor a team of data engineers; contribute to sprint planning.

Conhecimentos

Leadership

Mentoring

Agile & CI/CD mindset

Data engineering

Formação académica

Bachelor's in Computer Science

Ferramentas

Databricks

PySpark

DBT

Astronomer / Airflow

Cosmos

Snowflake

Python

SQL

Azure / AWS

Descrição da oferta de emprego

Confiz is seeking a Principal Data Engineer with 5+ years of hands-on experience in the modern cloud data stack. The role focuses on building scalable data solutions using Databricks, PySpark, DBT, and Snowflake.

You will lead a team of data engineers, drive architectural decisions, and ensure data quality and pipeline observability in an agile environment. Strong Python/SQL skills and cloud platform experience are required.