Data Engineer

Senovo IT Ltd; León; A distancia; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Data Engineer in a fully remote role. This exciting opportunity involves working on projects that leverage statistical approaches and data processing techniques. You will be responsible for developing ETL solutions, ensuring data quality, and utilizing tools like Hadoop and Spark. If you have a passion for data and experience in fraud detection or financial crime projects, this is the perfect chance to make an impact in a dynamic environment. Embrace the flexibility of remote work while contributing to innovative data solutions.

Formación

• Experience in data mapping and ETL processes.
• Hands-on development experience with Java or Scala.

Responsabilidades

• Develop data processing solutions using statistical approaches.
• Handle data quality issues and ensure data integrity.

Conocimientos

Data Mapping

ETL

Python

Java

Scala

Hadoop

Spark

RESTful APIs

Data Quality Management

Statistical Approaches

Herramientas

Ab Initio

Informatica

Tomcat

Jetty

Elastic

Descripción del empleo

Senovo IT is actively looking for a Data Engineer to join one of our great and well-known clients.

Contract role : 6-12 months + extension

Languages : only English

Location : Spain, fully remote

Main requirements :

1. Experience with projects involving statistical approaches or detection logic, data mapping, relational data, and object-oriented data processing such as ETL (with exposure to tools like Ab Initio, Informatica, etc.), parsing, and handling data quality-related issues.
2. Operational environments, DevOps, research/analysis, Hadoop, Spark, Scala (or Java), Python; Elastic (optional), RESTful APIs, JSON, Tomcat / Jetty.
3. Exposure to version control systems, understanding of processes used to build solutions.
4. Hands-on development experience (Java, Scala, etc.) via system integration projects or as a data scientist.
5. Experience in fraud, financial crime, customer insight, or compliance-based projects utilizing detection or predictive models.

If you are interested in discussing more details, please forward your CV along with your contact details to us.