Data Engineering

HSBC

Puestos disponibles
DistanciaAzcapotzalco, Ciudad de México
Híbrido
JornadaTiempo completo
Edad 18 años en adelante
Género(No Influyente)Indistinto(no influyente)
Herramientas

Herramientas

Hadoop

Apache Spark

Unix

Scala

Python

Git

Gradle

Jenkins

Docker

Habilidades

Habilidades

programación

ingeniería de datos

sistemas distribuidos

análisis

resolución de problemas

Aptitudes

Aptitudes

trabajo en equipo

proactividad

comunicación

aprendizaje continuo

Idioma

Idiomas

inglés

Datos adicionales

If you're looking for a career where you can make a real impression, join Global Service Center (GSC) HSBC and discover how valued you'll be. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfill their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Data Engineering. The GCDR application (hosted on Hadoop platform) is primarily concerned with entity resolution (matching internal and external party data together to form a single view of the customer). It covers all four lines of business across 57+ markets. It also supports other services such as UI, reporting, network generation, APIs etc. This role has two elements, the priority is ensuring the health, communication and root cause analysis of the daily production runs as part of a follow-the-sun support model/team and secondly to act as a Spark Developer for change (continuous improvement) and automation. The developer aspect includes development, programming, and maintenance of applications using the Apache Spark open-source framework. They work with different aspects of the Spark ecosystem, including Spark SQL, Datasets, and streaming. A Spark Developer must have strong programming skills in Unix, Scala, or Python. They should also be familiar with big data processing tools and techniques.
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