Remote Senior Spark Data Engineer - Flexible Hours & Impact

BairesDev

Sucre

Presencial

COP 370.233.000 - 555.350.000

Jornada completa

hace 6 horas
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Remote work 100%
USD salary option
Home office setup
Flexible hours
Paid parental leave
Generous vacation

Descripción de la vacante

BairesDev, a global tech company, is seeking a Senior Spark Data Engineer to design and build large-scale data processing systems for batch and streaming workloads. You will be a technical anchor ensuring scalable, efficient data pipelines.

You’ll collaborate with stakeholders, implement orchestration with Airflow, and work across modern cloud data environments. This is 100% remote with flexible hours and competitive USD compensation.

Formación

  • 5+ years of experience in Data Engineering, Spark Development, or a related field.
  • Proven expertise in Apache Spark, Scala, and Python.
  • Strong hands-on experience with ETL/ELT pipeline design and advanced SQL.
  • Proficiency in workflow orchestration and cloud data platforms or warehouses.
  • Advanced proficiency in English.

Responsabilidades

  • Design and optimize high-performance data pipelines using distributed computing frameworks.
  • Build structured, scalable data models and efficient extraction processes.
  • Implement robust workflow orchestration to automate complex processing schedules.
  • Ensure data integrity and quality across modern cloud data environments.
  • Collaborate with stakeholders to translate complex requirements into reliable data solutions.

Conocimientos

Spark
Python
Scala
SQL
Data modeling
English fluency

Herramientas

Apache Spark
Airflow
Cloud platforms

Descripción del empleo

BairesDev, a global tech company, is seeking a Senior Spark Data Engineer to design and build large-scale data processing systems for batch and streaming workloads. You will be a technical anchor ensuring scalable, efficient data pipelines.

You’ll collaborate with stakeholders, implement orchestration with Airflow, and work across modern cloud data environments. This is 100% remote with flexible hours and competitive USD compensation.

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