Big Data Engineer

Segula Technologies
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Amazon Web Services (AWS)
Automation of Tests
Bash
Big Data
Continuous Integration
DevOps
Hadoop
Python
Maven
Power BI
SQL Databases
Scripting (Bash/Python/Go/Ruby)
Spark
GIT
Terraform
Data Pipelines
Jenkins

Job description

Design, develop, and optimize data pipelines with Spark/Scala.

  • Collaborate with business analysts and data teams to translate requirements into technical solutions.
  • Ensure quality, documentation, and automated testing of developments.
  • Work with AWS services such as EMR, Glue, and Lambda, leveraging Terraform for infrastructure as code.
  • Align with technical best practices and regulatory requirements.

Requirements

More than 3 years of experience in Spark/Scala within Big Data environments (Hadoop).

  • Hands-on experience with AWS (EMR, Glue, Lambda) and Terraform.
  • Solid knowledge of Unix/Linux, Bash/Python scripting, and code repositories (Git, Maven).
  • Experience in DevOps practices (Jenkins, CI/CD).
  • Advanced English (C1) - mandatory.
  • Background in Financial Services/Banking.
  • Advanced SQL knowledge and batch process control.
  • Experience with BI platforms (ideally Power BI).

Benefits & conditions

Continuous training. -Good work environment: professional and highly specialized. -Opportunity to work in a multinational company that is growing nationally and internationally. -Internal promotion based on your own goals.

About the company

Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección En esta oferta serás redirigido a la pagina web de la empresa. Completa el formulario en su web. Datos principales de la oferta * 100% En remoto * España Imprescindible Residir * Big Data Funciones * Jornada completa Jornada * 3 años Experiencia * Indefinido Tipo contrato * Spark Scala Hadoop AWS

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