Senior Data Engineer (Databricks) - Remote & Flexible Hours

BairesDev

Veracruz

A distancia

MXN 2.198.000 - 3.297.000

Jornada completa

Hace 10 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Remote work
USD or local currency compensation
Home office hardware provided
Flexible hours
Parental leave

Descripción de la vacante

BairesDev is seeking a Senior Data Engineer (Databricks) to design and optimize robust data pipelines in lakehouse environments. You will ensure scalable, reliable data assets and act as a technical anchor for analytics-driven decisions.

The role requires strong expertise in Databricks, Spark, Airflow, dbt, and SQL, with excellent English skills. This is a 100% remote position offering global collaboration and growth opportunities.

Formación

  • 4+ years of experience in Data Engineering or Software Engineering.
  • Proven expertise designing and optimizing data pipelines in Databricks lakehouse environments.
  • Proficiency in orchestrating workflows using Apache Airflow.
  • Hands-on data transformation and modeling with dbt and SQL.
  • Strong background building scalable analytics-ready datasets.
  • Advanced proficiency in English.

Responsabilidades

  • Architect and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark for high-throughput data processing.
  • Design and implement durable data models and schemas within a Medallion Architecture (Bronze, Silver, Gold).
  • Orchestrate complex data workflows and manage task dependencies using Airflow to ensure data freshness and reliability.
  • Leverage dbt and SQL to transform raw datasets into clean, production-ready data products.
  • Optimize pipeline performance and compute resource usage through partitioning, caching, and query tuning.
  • Implement data quality checks and automated testing to ensure data lakehouse integrity.

Conocimientos

English proficiency
4+ years experience
Data modeling

Herramientas

Databricks
Apache Spark
Airflow
dbt
SQL

Descripción del empleo

BairesDev is seeking a Senior Data Engineer (Databricks) to design and optimize robust data pipelines in lakehouse environments. You will ensure scalable, reliable data assets and act as a technical anchor for analytics-driven decisions.

The role requires strong expertise in Databricks, Spark, Airflow, dbt, and SQL, with excellent English skills. This is a 100% remote position offering global collaboration and growth opportunities.

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