Ofertes d'ocupació per a Hadoop

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada20 de febr.

Python TSQL Scala Hadoop AWS Spark Big Data

Ring Data Science and Engineering team is looking for a Data Engineer (DE) to play a significant role in building their large-scale, high-volume data services. This role will be contributing to building extendable systems to support a variety of data needs, from handling large volumes of device data needed for troubleshooting and analytics, to organizing data for usage in AI platforms to provide analytics with agility.

Key job responsibilities

This role will be responsible for building and maintaining efficient, scalable, and privacy/security compliant data pipelines to support our business stakeholders. These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies.

This role will need to be able to work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business user´s needs and will be well modeled and organized to promote scalable usage and good data hygiene.

This role is expected to leverage new technologies like Gen AI and adapt to business needs, building and improving frameworks and processes with these new tools to accelerate development and improve data quality.

A day in the life

This Role will:

- Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc.

- Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools.

- Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates.

- Building/Improving/Maintaining frameworks or tools for internal team and external stakeholder usage to manage data.

- Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams.

- Building and updating AI Agents to streamline Data Engineering Tasks

BASIC QUALIFICATIONS

- Experience in data engineering

- Experience with data modeling, warehousing and building ETL pipelines

- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)

- Experience with one or more scripting language (e.g., Python, KornShell)

PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada17 de febr.

. API Python TSQL Azure Cloud Coumputing Git Hadoop AWS DevOps Spark Big Data Machine Learning Office

In a few words

Position: Data Scientist

Location: Madrid (Chamberí area).

Want to know more? 👇

INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health.

The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development.

Ready to be a #Challenger?

What are we looking for? 🔎

We are the Data Science team within AI Labs, the applied AI department at Insud Pharma. We are a team of 30 professionals (AI Engineers, Data Scientists, DevOps Engineers, and Product Managers) working across the full breadth of the company, building products, models, and analytical solutions that directly inform and shape decision-making.

We are looking for an Applied Data Scientist with strong technical foundations who is eager to work across diverse and complex problem domains (R&D, drug manufacturing process optimization, clinical trials, and beyond). You will model problems from the ground up—defining the right framing, selecting appropriate methodologies, and owning solutions through rigorous development to full deployment.

We are seeking someone curious enough to tackle varied challenges (graph theory, embeddings, neural network forecasting models, causality, Bayesian optimization), rigorous enough to justify every technical and methodological decision, and independent enough to deliver end-to-end impact while taking full ownership of their work.

How the team works:

AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: flat, collaborative, and fast-moving. Beyond the Data Science team, you will work alongside AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work.

We hold regular demo days where teams present their work, as well as whiteboard sessions where we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city.

The challenge!

• Collaborate with small, cross-functional teams. Each project is run by a small group — typically a Product Manager, a Data Scientist, an Engineer, and key stakeholders. Iteration is fast, feedback loops are short, and your contribution is visible from day one.
• Conduct exploratory data analysis to uncover patterns and insights in large datasets.
• Design, implement, and validate machine learning models and statistical methodologies to solve high-impact, real-world business problems.
• Translate technical findings into clear narratives, visualizations, and decision frameworks for both technical and non-technical stakeholders, enabling informed and data-driven decisions.

What do you need?

• Strong understanding of statistics, machine learning, and data mining techniques.
• Expertise in Python programming, including proficiency with data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow…).
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Proven ability to translate complex technical concepts into clear, actionable insights for non-technical audiences.
• Knowledge and experience in causal inference methodologies will be highly valued.
• Knowledge of deep learning architectures and natural language processing is beneficial.
• Familiarity with Large Language Models (LLMs) and their applications in business contexts is a plus.
• Experience with version control systems (e.g., Git) and collaborative development practices.
• Clean, maintainable code and familiarity with software engineering best practices.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases is a plus.
• Proficient in Spanish and English in written and verbal communication.

Our benefits!

⏰ Flexible start time from Monday to Friday

📜 Permanent contract.

🥼 Life and accident insurance.

🍽️ Ticket restaurant

💻 Training and language learning platform

💆🏻 ♀️ Wellness platform with unlimited free psychologist sessions

🚕 Cabify transportation service for employee use

📈 Development plans, internal mobility policy.

⭐ Many more!

What will the Selection process be like? 🕵️

➡️ Stay tuned to your phone and email! The first thing we will likely do is contact you through one of the two channels.

➡️ Prepare well! We will continue with an in-person/virtual interview depending on availability and what we agree upon; there may be one or two interviews in the process, and depending on the type of process, there may also be some kind of test.

➡️ Wait for the result! We care that you feel guided throughout each selection process and know what to expect from us, so we will always try to inform you of the status of the process.

🔷 Do you think this offer is not for you? 🔷

Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting!

#InsudPharma #Challenger #Insuder #InsudTalent

COMMITMENT TO EQUAL OPPORTUNITIES

The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada17 de febr.

Teletreball Jenkins Scala Hadoop Bash Spark Big Data

🚀 Desarrollador/a Spark / Scala – Big Data

Buscamos un/a Desarrollador/a Backend especializado/a en Spark y Scala para unirse a un equipo técnico en entornos Big Data, participando en el desarrollo y mantenimiento de soluciones batch y ETL escalables.

🔎 ¿Qué harás?

Desarrollo de procesos batch y ETL con Spark y Scala

Diseño de arquitectura modular y componentes reutilizables

Automatización con Bash scripting

Trabajo con ecosistema Hadoop y Hive

Gestión de código con Git/GitHub

Aplicación de buenas prácticas, testing y control de versiones

Participación activa en decisiones técnicas

✅ Requisitos imprescindibles

+3 años de experiencia en proyectos backend Spark-Scala

Nivel avanzado en Apache Spark y Scala

Experiencia sólida en ETL / procesamiento batch

Conocimientos avanzados de Hive

Experiencia con Git/GitHub

Buen manejo de Bash scripting

⭐ Valoramos además

Experiencia con Jenkins, HUE, IntelliJ, Impala

Mentalidad orientada a calidad y mejora continua

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada6 de febr.

MongoDB TSQL Azure Cloud Coumputing Oracle Hadoop AWS PostgreSQL Spark Big Data SQL Server

Personal Técnico_ Arquitecto Servicios de arquitectura de datos (Big Data) (Cajamar Tecnología)

Cajamar Tecnología es una empresa de servicios que forma parte del Grupo Financiero Cajamar, con presencia a nivel nacional.

Nos caracterizamos por ser una organización dinámica, emprendedora y socialmente comprometida. El equipo al que te incorporarás está especializado en la gestión digital y remota con personas —clientes y no clientes— que necesitan asesoramiento financiero.

En nuestro entorno laboral, valoramos la innovación, la inclusión y el crecimiento profesional. Creemos en el talento diverso y en el desarrollo de carreras que marquen la diferencia.

¿Qué necesitamos de ti?  

Formación: Ingenieria Informática, Telecomunicaciones o similar; se valora Máster en Big Data o Arquitectura de Datos.

Experiencia:

Más de 5 años en arquitectura de datos y diseño de modelos.
Experiencia en entornos Big Data y bases de datos relacionales/noSQL.

Conocimientos técnicos:

Modelado de datos (relacional, dimensional, Data Vault).
Herramientas: Oracle, SQL Server, PostgreSQL, MongoDB, Hadoop, Spark.
Cloud: Azure, AWS, o GCP (Data Lake, Synapse, Databricks).
Gobierno del dato: Microsoft Purview, Collibra.
Lenguajes: SQL avanzado, Phyton, shell.

Idiomas: Español; Inglés técnico valorable.

COMPETENCIAS

Pensamiento estratégico y orientación a estándares.
Capacidad para documentar y comunicar arquitecturas complejas.
Liderazgo técnico y trabajo colaborativo.
Orientación a calidad, escalabilidad y seguridad.

¿Qué funciones realizarías? 

Describir, diseñar, revisar y normalizar los modelos de datos de BCC.
Mantener un diccionario de datos único que garantice coherencia y trazabilidad.
Generar los modelos en los diferentes Sistemas de Gestión de Bases de Datos utilizados por BCC.
Definir estándares y buenas prácticas para la arquitectura de datos en entornos Big Data.
Colaborar con equipos de desarrollo, analítica y gobierno del dato para asegurar consistencia y calidad.
Participar en la evolución de la estrategia de datos y en la integración con sistemas corporativos.
Documentar procesos y modelos, asegurando su alineación con normativas internas y externas.
Orientación a la automatización, escalabilidad y optimización de rendimiento en plataformas de datos.


¿Qué te ofrecemos?

Oportunidad de integrarte en un equipo de profesionales, comprometidos en un proyecto de presente y futuro cuyo entorno de trabajo colaborativo y dinámico te facilitará diversidad de posibilidades de crecimiento y desarrollo profesional.
Formación continua y disponibilidad de itinerario personalizado.
Posibilidad de Jornada y Horario flexible, según proyecto.
Compensación y beneficios sociales: Retribución flexible (Seguros de Salud, Cheque Guardería, etc.), y condiciones financieras especiales.
Programas de acompañamiento y Bienestar atendiendo a tus necesidades personales.
Acceso a diversos Programas de Voluntariado donde podrás involucrarte dejando una huella positiva
Posibilidad de trabajo híbrido.
Contrato indefinido en un proyecto confiable y en continua evolución con una remuneración acorde a tu experiencia y aportación de valor.

Entidad: Cajamar Tecnología 
Centro de trabajo:  Almeria, Valencia, Madrid y Salamanca
Incorporación: Inmediata  

Sólo tienes que clicar en SOLICITAR.