Lead Data Engineer - Azure Databricks & Pipelines

ScotiaTech

Bogotá

Presencial

COP 60.000.000 - 120.000.000

Jornada completa

Hace 8 días
Generador de candidaturas

Una candidatura hecha para este puesto de trabajo: un currículum y una carta de presentación adaptados que responden directamente a la oferta.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Indefinite term contract
Financial wellness

Descripción de la vacante

ScotiaTech seeks a Data Engineer to design, build, and optimize data pipelines and lakehouse solutions on Azure and Azure Databricks for international banking. You will act as hands-on technical lead and own end-to-end solution design, documentation, and production-grade code.

You will mentor a team of Data Engineers, lead design reviews, and collaborate with cross-functional partners to translate business requirements into data products aligned with global goals.

Formación

  • 2+ years in data engineering with 3+ years delivering production data solutions on Azure
  • Experience as a technical lead supervising data engineers
  • Expertise in designing pipelines with Azure Databricks, Delta Lake, Unity Catalog, and Spark
  • English level B2

Responsabilidades

  • Lead end-to-end design, code reviews, and production-grade implementation
  • Mentor, coach, and develop a team of Data Engineers
  • Provide effort estimates, risks, and dependencies for delivery planning
  • Collaborate with Data Scientists, Product Owners, Architecture, and Platform Engineering

Conocimientos

Azure Databricks
Delta Lake
Azure Data Factory
Azure Synapse
Spark
Leadership
Data pipelines
Unity Catalog
English B2

Herramientas

Azure Databricks

Descripción del empleo

ScotiaTech seeks a Data Engineer to design, build, and optimize data pipelines and lakehouse solutions on Azure and Azure Databricks for international banking. You will act as hands-on technical lead and own end-to-end solution design, documentation, and production-grade code.

You will mentor a team of Data Engineers, lead design reviews, and collaborate with cross-functional partners to translate business requirements into data products aligned with global goals.

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