Senior Databricks Data Engineer - Remote Lakehouse Architect

BairesDev

Distrito Capital

À distance

VES 79 156 000 - 114 336 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

100% remote work
USD or local currency pay
Mentorship and growth
Flexible hours
Global team collaboration

Résumé du poste

BairesDev is seeking a Senior Data Engineer (Databricks) to design scalable data pipelines and lakehouse models. The role emphasizes building reliable data assets and production-ready data products, with a focus on performance and governance.

You will leverage Databricks, Apache Spark, dbt, and SQL to deliver high-throughput data solutions in a 100% remote environment, while communicating effectively in English.

Qualifications

  • 4+ years in Data or Software Engineering with data-focused responsibilities.
  • Proven design and optimization of data pipelines in Databricks lakehouse environments.
  • Strong experience orchestrating workflows with Apache Airflow.
  • Hands-on data transformation and modeling using dbt and SQL.
  • Ability to build scalable analytics-ready datasets and robust data products.
  • Excellent written and spoken English proficiency.

Responsabilités

  • Architect and maintain scalable ETL/ELT pipelines using Databricks and Spark.
  • Design durable data models within a Medallion Architecture (Bronze-Silver-Gold).
  • Orchestrate complex workflows with Airflow to ensure data freshness.
  • Transform data with dbt and SQL into production-ready datasets.
  • Optimize performance and manage compute resources through partitioning and tuning.
  • Implement data quality checks and governance across the lakehouse.

Connaissances

Databricks
Airflow
dbt
SQL
Data modeling
English

Outils

Apache Spark
dbt
SQL tooling

Description du poste

BairesDev is seeking a Senior Data Engineer (Databricks) to design scalable data pipelines and lakehouse models. The role emphasizes building reliable data assets and production-ready data products, with a focus on performance and governance.

You will leverage Databricks, Apache Spark, dbt, and SQL to deliver high-throughput data solutions in a 100% remote environment, while communicating effectively in English.

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