Data Engineering Lead for Banking Analytics

INGEPSY

Bogotá ciudad

Híbrido

COP 120.000.000 - 180.000.000

Jornada completa

Hace 4 días
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Descripción de la vacante

ScotiaGBS in Bogota seeks a senior Data Engineer/Architect to lead development and operation of critical data assets and models for International Banking Analytics. You will guide a cross-functional agile team, mentoring engineers, and ensuring compliant, timely delivery of data pipelines and insights.

The role requires 5+ years in data engineering or architecture, strong SQL, Spark and Google Cloud, and experience with relational databases.

Formación

  • Bachelor’s degree in Computer Science or Engineering, or related field.
  • 5+ years experience as a Data Engineer and/or architect.
  • Proficient in English.
  • Strong SQL, Spark and Google Cloud skills.
  • Relational databases (Oracle, DB2, MySQL, Redshift).
  • Data modelling and warehousing experience would be a plus.
  • Industry experience as a project leader/manager.

Responsabilidades

  • Lead and oversee the development of data assets and models.
  • Guide agile team and ensure best practices across development.
  • Mentor data development teams to ensure understanding of operational models.
  • Ensure requirements are met and delivered timely.
  • Maintain high-quality data pipelines and models.
  • Collaborate with data producers and data consumers across the data cycle.
  • Develop and review pipeline documentation (code location, purpose, ownership, processing logic).
  • Align activities with bank risk appetite and conduct policies.

Conocimientos

English proficiency
Leadership / project management
Data engineering experience
Data architecture
SQL
Spark
Google Cloud
Data modelling
Data warehousing
Relational databases

Educación

Bachelor’s degree in Computer Science or Engineering, or related field

Herramientas

PowerBI
Hive
Kafka
Trino
Microservices architecture
Big data technologies

Descripción del empleo

ScotiaGBS in Bogota seeks a senior Data Engineer/Architect to lead development and operation of critical data assets and models for International Banking Analytics. You will guide a cross-functional agile team, mentoring engineers, and ensuring compliant, timely delivery of data pipelines and insights.

The role requires 5+ years in data engineering or architecture, strong SQL, Spark and Google Cloud, and experience with relational databases.

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