Big Data Engineer: Spark/Scala & AWS Cloud Data Pipelines

Santander; Ciudad de México; Híbrido; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading financial services firm in Mexico is seeking a Big Data Engineer to join their innovative team. The role involves designing and implementing data solutions, optimizing ETL processes, and working with modern technologies in a collaborative environment. Candidates should have a background in Scala and Spark, along with experience in cloud ecosystems and data management. This position offers competitive remuneration and a hybrid work model.

Servicios

Competitive remuneration

Attractive benefits package

Possibility of growth

Excellent work environment

Formación

• 2+ years of experience with Scala, Spark, software design patterns, and TDD.
• Experience with AWS ecosystem (EMR, EC2, etc.) is a plus.
• Familiarity with SQL (Postgres, MySQL) and NOSQL (DynamoDB, Elasticsearch).

Responsabilidades

• Design and implement production big data environments.
• Build and optimize large-scale data solutions.
• Develop and manage ETLs in batch (Spark, Scala) and streaming (Apache Flink).

Conocimientos

Scala

Spark

Data integration

Agile methodologies

DevOps

Professional proficiency in English

Educación

Bachelor’s Degree in Computer Science or related field

Herramientas

AWS (EMR, EC2, S3, DynamoDB, etc.)

Git

Jenkins

Docker

Hadoop

Descripción del empleo

A leading financial services firm in Mexico is seeking a Big Data Engineer to join their innovative team. The role involves designing and implementing data solutions, optimizing ETL processes, and working with modern technologies in a collaborative environment. Candidates should have a background in Scala and Spark, along with experience in cloud ecosystems and data management. This position offers competitive remuneration and a hybrid work model.