Ofertas de empleo para Scala

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada4 ene.

. Python TSQL Cloud Coumputing Scala AWS Spark Big Data

Buscamos un/a Ingeniero/a de Datos Senior con amplia experiencia en entornos cloud y ecosistemas Big Data.

Tareas

Formarás parte de un equipo clave en la evolución del Lago de Datos, asegurando la calidad, fiabilidad y rendimiento de los sistemas analíticos.

Requisitos

• Más de 5 años de experiencia como Ingeniero/a de Datos en entornos complejos (valorable sector educativo o institucional).


• Dominio del modelado de datos (conceptual, lógico y físico).


• Experiencia en arquitecturas Data Lake y Data Lakehouse en AWS:
  
  S3, Glue, Athena, Redshift, Lambda.


• Manejo avanzado de herramientas de procesamiento de datos en la nube:
  
  AWS Glue, Apache Spark, PySpark, Databricks y herramientas de orquestación como Airflow.


• SQL avanzado + Python y/o Scala aplicados a datos.


• Definición y mantenimiento de pipelines ETL/ELT robustos, escalables y monitorizables.


• Experiencia en catálogo de datos, metadatos y gobierno del dato:
  
  AWS Glue Data Catalog, Collibra, Alation u otros.

Se necesita:

- Titulación universitaria en:

Ingeniería Informática, Telecomunicaciones, Industrial, Matemáticas, Estadística o similar.

- Máster en Ingeniería de Datos, Ciencia de Datos, Big Data o Arquitectura de Sistemas

Certificaciones tipo:

- AWS Certified Data Analytics - Specialty

- AWS Certified Solutions Architect (Associate o Professional)

- Certificaciones en plataformas de integración de datos

Beneficios

• Contrato indefinido desde el primer día.


• Proyecto inicial de 3 meses, prorrogable y con reubicación posterior en otros proyectos.


• Modalidad híbrida en Madrid:
  
  Inicio presencial durante la fase de adaptación. Posteriormente, modelo híbrido.


• Salario bruto anual de 42-45k

Si te motiva trabajar con grandes volúmenes de datos, arquitecturas cloud en AWS y participar en la toma de decisiones estratégicas a través de la analítica, ¡este es tu sitio!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 dic.

. Python TSQL NoSQL Cloud Coumputing Scala Hadoop AWS Kafka Spark Big Data Power BI Tableau

We’re looking for a Data Engineer to evolve our data infrastructure, optimize data flows, and guarantee data availability and quality. You will partner closely with data scientists and analysts to keep a consistent, scalable data delivery architecture across all ongoing projects.

Responsibilities

• Design, build, install, test, and maintain highly scalable data management systems
• Ensure solutions meet business requirements and industry best practices
• Integrate/re-engineer emerging data-management and software-engineering technologies into existing data stacks
• Define and document standardized processes for data mining, data modeling, and data production
• Use a variety of languages and tools to stitch systems together (e.g., Python, SQL)
• Recommend improvements to increase data reliability, efficiency, and quality
• Collaborate with data architects, modelers, and IT teams to align on project goals
  
  
  

Requirements

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field or equivalent proven experience as a Data Engineer, Software Developer, or similar role
• Proficiency with the Apache ecosystem (Parquet, Hadoop, Spark, Kafka, Airflow)
• Strong hands-on experience with AWS data services (Amazon Redshift, Kinesis, Glue, S3)
• Demonstrated experience building and optimizing big-data pipelines, architectures, and datasets
• Strong analytical skills working with unstructured datasets
• Experience with relational SQL and NoSQL databases, preferably Snowflake and/or Databricks
• Familiarity with data pipeline and workflow orchestration tools
• Strong project management and organizational skills
• Excellent written and verbal communication skills
• Snaplogic knowledge is a plus
  
  
  

Preferred Skills

• Proficiency in scripting languages such as Python or Scala
• Familiarity with data visualization tools (e.g., Tableau, Power BI, QuickSight)
• AWS Cloud Practitioner, Architecture, Big Data
  
  
  

#IamBoehringerIngelheim because…

With us, you can grow, collaborate, innovate, and improve lives. We offer challenges in a global, respectful, and family-like work environment where ideas drive our innovative mindset. Flexible learning and continuous development for our team are key because your growth is our growth.

At Boehringer Ingelheim, gender equality is one of our top priorities. We not only comply with current regulations but also strive to promote it in all areas of our organization, as established in our III Equality Plan. We are committed to creating an inclusive and equitable work environment for everyone!

Our Company

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada27 ago.

Teletrabajo Python Scala Spark

Buscamos un Spark Scala / PySpark Developer con 3 a 5 años de experiencia, para incorporarse a un proyecto de gran alcance en el sector tecnológico en modalidad 100% remota

Imprescindible experiencia con Apache Spark, trabajando en Scala o en PySpark (Python).
Experiencia en optimización de rendimiento del dato, aplicando técnicas orientadas a minimizar recursos y costes.
Deseable inglés +B2

Qué ofrecemos:

Posición estable mediante contrato indefinido
100% remoto
Paquete de retribución flexible (restaurante, transporte, seguro medico, guardería)
Formación: tecnológica, certificaciones, idiomas