Ofertas de empleo para Python

• Nivel de experiencia---
• Tipo de contratoTemporal
• PublicadaNueva

Teletrabajo . Python TSQL SaaS Machine Learning Office

Mission

If You Have a Passion For Data And Technology And Want To Join a Crew Of Sharp Analytical Minds, This May Be The Right Opportunity. As An Intern, You Will Get a Chance To Take Part In The Typical Tasks Our Data Scientists Do Daily

• Translate business needs into technical requirements
• Design, develop, and implement statistically grounded methodologies to address business needs
• Debug and problem-solve issues to ensure the delivery of accurate metrics
• Create and document reusable packages and libraries
• Dive into technical problems and figure out solutions that make our product meaningful
  
  

• Currently studying or recently graduated in Mathematics, Statistics, Data Science, Physics, or related fields
• Knowledge of Python and SQL
• Highly motivated, dynamic, and detail-oriented
• Strong multi-tasking skills and ability to work in a fast-paced environment
• Strong interpersonal and communication skills, both verbal and written
• Advanced level of English
• Open to part-time or full-time work
• Must have legal authorization to work in Spain (we cannot provide visa sponsorship)
  
  

• Minimum duration: 3 months, with the possibility to extend up to 6 months
• Start date: flexible – you can join at any time
• Working hours: part-time or full-time
• Location: Barcelona or Madrid
• Work model: Hybrid, coming to the office 2–3 times per week. depending on the team
• Advanced level of English
  
  

• Internationally diverse team with over 30 nationalities
• Focus on high-quality, impactful software development
• Competitive internship compensation
• Open feedback culture to foster continuous improvement
• Flexible remote work and time management within projects
• Access to the latest technologies, innovation, and trial-and-error learning
• Opportunities for further training and professional growth
• Fun team activities and off-sites
  
  

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

HTML Inglés Resolución de problemas Estadística Capacidad de análisis Gestión Ciencias de la computación Competencias transversales Establecer prioridades del trabajo Resolución creativa de problemas Python TSQL

Company Description

IOMED operates a Data Space Platform powered by AI designed to activate healthcare data for secondary use while ensuring compliance with data protection. Utilizing Natural Language Processing, the platform processes both structured and unstructured clinical data, enabling transformation into an interoperable OMOP Common Data Model without data leaving a hospital’s in-house systems, thanks to its Federated Data Model. IOMED’s innovative approach bridges the gap between raw clinical data and standardized formats for meaningful analysis in Data Spaces. With a focus on data security, IOMED's mission is to be a trusted ally for healthcare organizations, fostering the future of data-driven healthcare.

Role Description

The core of your role will be to provide analytical insights about the data we work with. To this aim, you will design and develop ways of analyzing and visualizing relevant aspects of our datasets, with the final objective of ensuring their quality.

As a Quality Analyst, you will be working in a very dynamic environment, which means that you must have a strong problem-solving ability, organization skills, and be proactive. We are looking for sharp analytical minds, who are able to develop innovative solutions to reason about different types of data. In technical terms, you should be able to implement these solutions in code entirely, from database queries to visualizations.

Main Responsibilities

• Validate and verify datasets across different stages of the data lifecycle to ensure consistency and reliability.
• Identify anomalies, unexpected patterns, and inconsistencies in structured and unstructured data.
• Design, execute, and maintain data validation checks and quality controls.
• Investigate data issues such as missing values, abnormal distributions, inconsistencies between sources, or unexpected pipeline outputs.
• Create, document, and manage data quality incidents, ensuring proper tracking and follow-up until resolution.
• Perform root cause analysis in collaboration with Data Engineers, Data Scientists, and clinical teams.
• Monitor recurring quality problems and propose preventive improvements.
• Document validation procedures, findings, and quality standards.

Knowledge & Skills

• Degree in Data Science, Computer Science, Statistics, Health Informatics, or a related field.
• Strong SQL skills and confidence working with large datasets.
• Ability to explore data and detect inconsistencies through analytical reasoning.
• Understanding of data pipelines and ETL processes.
• Good knowledge of statistics.
• Proficiency on the use of testing and expectation frameworks.
• Knowledge of data visualization methods and tools.
• Python for exploratory analysis or validation scripting is a plus.
• Experience with healthcare or clinical datasets is a strong plus.
• Professional proficiency in English.

Soft Skills

• In terms of personality, we are looking for someone who enjoys working in a wide range of areas and adapts quickly to new situations.
• Excellent communication skills and the ability to work in a team.
• To be comfortable with changes and able to adapt quickly to new tools and methodologies.
• The ability to identify issues, analyze them, and find creative solutions is critical.
• Efficiently managing time and prioritizing tasks.

What can we offer?

• Competitive salary.
• Permanent contract.
• Flexible remuneration with restaurant tickets, transport tickets, nursery, training, and medical insurance.
• Flexible schedule and hybrid working model.
• 28 days of vacations per year.
• A warm, transparent and supportive team, with a huge emphasis on work-life balance. 
• The opportunity to make your mark in e-health and AI.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo . Python TSQL R Machine Learning

💚Softtek es un socio global de ingeniería de software que impulsa el progreso de las compañías. Desde hace más de 40 años, hemos ayudado a nuestros clientes a desarrollar, implementar y gestionar tecnología que mejora la vida de las personas.

Con presencia en más de 20 países y más de 16,000 softtekians en todo el mundo, en Softtek estamos en constante crecimiento. En España, te ofrecemos la oportunidad de unirte a nuestra comunidad en ubicaciones como Albacete, Asturias, Ávila, Barcelona, Córdoba, Coruña, Madrid, Narón, Segovia o Zaragoza, donde podrás desarrollar tu carrera dentro de un modelo híbrido y flexible.

En 2025, hemos sido reconocidos en la Lista Forbes como una de las 100 mejores empresas para trabajar en España, destacando por nuestra flexibilidad y personalización en la experiencia del empleado. Creemos en el poder de las habilidades diversas y la la iniciativa personal para lograr cosas asombrosas, y valoramos el talento único de cada persona para contribuir al crecimiento y diversidad de nuestro equipo. ¿Nos acompañas en esta aventura? #FutureTogether

🔎¿Qué buscamos?

Buscamos un Data Scientist con Python y R que cumpla con los siguientes requisitos:

• 3-5 años de experiencia en Data Science o Machine Learning Aplicado.

• Fuerte conocimiento de Python y SQL.

• Experiencia en la construcción y despliegue de modelos de machine learning.

• Experiencia práctica con Generative AI, incluyendo:

• Embeddings

• Búsqueda vectorial

• Arquitecturas estilo RAG

• Modelos NLP o transformadores

• Familiaridad con la evaluación de modelos más allá de la precisión (ranking, relevancia, calidad de recuperación, etc.)

💻 ¿Cómo será tu día a día?

• Trabajarás estrechamente con Product Owners, Data Analysts, Data Engineers y ML Engineers para diseñar, construir, desplegar y monitorear productos escalables de AI y Generative AI.

• Jugarás un papel clave en la adopción de Generative AI en todo el negocio, construyendo soluciones basadas en LLMs, embeddings y RAG para resolver problemas reales de usuarios y operativos.

• Interactuarás directamente con los stakeholders del negocio para entender sus necesidades y traducirlas en sistemas de AI que sean precisos, confiables y prácticos en producción.

• Monitorearás y mejorar el rendimiento de modelos y sistemas, aplicar las mejores prácticas en Data Science, MLOps y LLMOps, y refinar continuamente modelos y prompts para maximizar el impacto en el negocio.

• Mantenerse al día con las mejores prácticas de LLM, RAG y GenAI, utilizando nuevas técnicas y tecnologías para impulsar la innovación y la eficiencia.

✅Conoce nuestra propuesta de valor

📝Contrato indefinido.

💻Modelo híbrido: Súmate a nuestro modelo Softtek 56, que se adapta a las circunstancias de cada Softtekian y en donde podrás conectar y desarrollarte con nuestros equipos en las diferentes sedes 56 horas al mes y disfruta de teletrabajo el resto del tiempo.

👪 Conciliación: Horario flexible y el programa BetterWork que apoya el equilibrio entre tu vida personal y profesional.

✈️24 días de vacaciones.

🩺 Seguro médico.

💳Retribución flexible: tarjeta transporte, tarjeta restaurante, cheque guardería o seguro médico familiares.

🎂 Tarde de cumpleaños libre (también por el cumple de tus hijos).

🎁 Club del empleado: Beneficios y promociones exclusivas por ser Softtekian.

🎓Planes de formación: idiomas, tecnologías y habilidades interpersonales.

🌍 Oportunidad de movilidad interna: en nuestras sedes internacionales y dentro de España.

🔝 Valoraremos especialmente la candidatura de personas que posean habilidades y capacidades únicas y diversas, reconociendo la importancia de facilitar su integración plena en el mercado laboral. Cada individuo, con sus capacidades singulares, aporta una riqueza invaluable a nuestra comunidad, y nuestro compromiso es asegurar que todos tengan la oportunidad de demostrar su valía y contribuir al crecimiento y la diversidad de nuestro equipo.

👀 ¡Estamos deseando conocerte!

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo . Python Agile TSQL Oracle AWS Power BI Tableau SQL Server

¡Dale un aire nuevo a tu vida y sigue creciendo en tu carrera dentro de los servicios centrales de SECURITAS DIRECT!  

¿Quiénes somos?

Somos líderes en el mercado europeo de la protección y seguridad de personas para hogares y pequeños negocios, aportando un servicio excepcional a más de 3 millones de clientes/as con un equipo de más de 25.000 empleados, presentes en 17 países de Europa y América Latina. En Securitas Direct hemos creado las innovaciones más disruptivas del mercado, las cuales se han convertido en estándar para la industria y el sector. Combinamos la pasión, el compromiso, el compañerismo y la responsabilidad en nuestro día a día teniendo como foco principal el cuidado de nuestros clientes.

El área de Marketing cliente

Desde Marketing Cliente, estamos buscando al mejor talento para incorporarse en nuestros equipos de negocio. En este área trabajan 6 equipos con más de 50 profesionales liderando proyectos que impulsan la retención y fidelización de los clientes actuales, así como el crecimiento de la cartera actual y la digitalización de los procesos operativos. Se caracteriza por ser un área muy estratégica con grandes retos por delante.

¿Quieres ser parte de nuestro crecimiento?

Como analista senior de Business intelligence dentro del equipo de Customer Intelligence participarás en proyectos trasversales orientados al mundo de datos dando cobertura a las distintas áreas del cliente, en un entorno de trabajo dinámico con aprendizaje y retos continuos.

Responsabilidades en tu día a día

• Colaboración en proyectos clave para la compañía y de alto carácter transversal e impacto en KPIs.

• Colaborar con el cliente interno para facilitarle la toma de decisiones, ayudando a identificar el problema de negocio, los sistemas y procesos implicados y desarrollar la solución de BI más adecuada.

• Realizar múltiples análisis exploratorios y explicativos con diferentes conjuntos de datos, se requiere pensamiento crítico y creativo “out of the box”.

• Preparación y depuración de datos para análisis y segmentaciones de clientes.

• Creación de Dashboards, desarrollos en BD, análisis adhoc.

• Comunicación y coordinación constante con las diferentes áreas de Securitas Direct para entender correctamente los datos.

Requisitos para la posición:

• Experiencia mínima de 4-5 años en proyectos de BI en funciones similares.

• Titulación universitaria superior: Ingeniería Informática, Matemáticas, Estadística o similar.

• Dominio leguaje SQL y experiencia trabajando en BBDD tales como Oracle, SQL Server, Sybase, Snowflake ).

• Experiencia demostrable con Power BI o herramienta de visualización de datos similar

• Persona proactiva, analítica y con buena capacidad de comunicación.

• Clara Orientación al Cliente.

Valorables:

• Conocimiento de metodologías Agile

• Experiencia previa en Python

• Experiencia previa con AWS

• Experiencia previa con otras herramientas de Visualización y Reporting: Power BI, Tableau, Qlik Sense, o de reporting como Business Objects

¿Qué te ofrecemos?

💻Modelo híbrido de teletrabajo (16 días de teletrabajo al trimestre) para que los adaptes a tus necesidades.

⌚Horario flexible de entrada/salida y jornada intensiva los viernes.

🏖️22 días de vacaciones al año + 1 de asuntos propios + bolsa de horas de exceso

🎂La tarde de tu cumpleaños ¡Libre!

🏃♂️➡️Plan de carrera personalizado anual

🥖Comedor subvencionado, contamos con 3 restaurantes dentro de nuestra oficina por lo que ¡Olvídate de Tuppers!

⏰Descuentos en productos propios

💳Retribución flexible

🤱Apoyo a la maternidad y paternidad, políticas de igualdad y diversidad

🧗♂️ ¡Tú eres protagonista de tu desarrollo! Tendrás la oportunidad de desarrollar un catálogo formativo adhoc adaptado a tu perfil profesional.

¿Y ahora qué?

Si has llegado hasta aquí es porque realmente te hemos parecido interesantes 😀. Cómo próximos pasos, apúntate en nuestra oferta y el equipo de gestión de personas revisará tu perfil. Si encajas con la necesidad, te llamaremos para poder conocerte y darte más información acerca de la posición y de nosotros.

Como último consejo: ¡Se tú mismo/a! 👌

¡Estamos deseando conocerte! 🤝

• Nivel de experiencia---
• Tipo de contratoConsultor
• PublicadaNueva

. Python Agile TSQL Azure Cloud Coumputing DevOps Terraform Power BI

We are seeking a Data Engineer to join our team, focusing on building scalable and governed data products in a cloud data mesh architecture for the SAP Finance & Controlling domain.

This specialized role is paramount for designing, maintaining, and optimizing robust data pipelines and semantic models on our Azure-based Data Analytics Platform, leveraging Databricks and Microsoft Fabric. The ideal candidate combines strong technical proficiency in modern data engineering with the ability to translate finance and controlling business logic into governed, performant data models.

Experience with SAP FI/CO processes is preferred, as well as advanced skills in data modeling, Data Contracts, and cost/performance optimization. You will be instrumental in ensuring high data quality, governance, and availability for critical business intelligence and analytical dashboards. We are looking for a proactive, solution-oriented individual eager to contribute to a multidisciplinary, agile, and international environment.

Your Tasks in the Team

• Design, build, and operate data pipelines on Azure Data Factory and Databricks (PySpark/SQL, Delta Lake) using Azure DevOps for CI/CD.
• Apply advanced data modeling techniques (dimensional/star, data vault, normalized models) and implement Medallion architecture (Bronze/Silver/Gold).
• Define and enforce Data Contracts: schemas, SLAs/SLOs, versioning, and validation gates.
• Optimize Databricks workloads for performance and cost (partitioning, Z ORDER, caching, Photon, autoscaling, cluster policies).
• Standardize delivery with Databricks Asset Bundles and implement observability (job metrics, audit logs).
• Ensure compliance with governance, security, and regulatory requirements via Unity Catalog and RBAC/ABAC policies.
• Embed data quality frameworks, automated tests, and monitoring for pipeline health, SLA breaches, and anomaly detection.
• Collaborate closely with Finance stakeholders and domain engineers to ensure KPI sign-off and business alignment.
• Contribute to technical documentation, participate in code reviews, and drive continuous improvement.
• (Preferred) Build semantic models in Microsoft Fabric/Power BI aligned with curated data and governed KPIs.
• (Preferred) Translate SAP FI/CO business logic (GL, AP/AR, allocations, exchange rates) into reconciled semantic models.
  
  

• Strong experience with Microsoft Azure (ADLS Gen2, Data Factory, Key Vault) and foundational networking/security.
• Hands-on expertise in Databricks: PySpark, SQL, Delta Lake, Unity Catalog, Asset Bundles; performance tuning and cost optimization.
• Advanced data modeling skills: dimensional/star, data vault, semantic layers; optimization for query performance.
• Proficiency in Python and SQL for data processing; modular code and unit testing.
• Experience with Azure DevOps (Repos, Pipelines, approvals) and CI/CD strategies with rollback procedures.
• Knowledge of Data Contracts: schema definition, SLAs/SLOs, versioning, compatibility policies.
• Familiarity with event-driven architectures and real-time data streaming.
• Experience working in Agile/Scrum environments.
• Fluent in English (written and spoken).
  
  

• SAP FI/CO domain knowledge (GL, AP/AR, Asset Accounting, Cost Center Accounting, Internal Orders, CO PA).
• Microsoft Fabric / Power BI: semantic modeling, dataset governance, KPI standardization.
• Infrastructure as Code (Terraform for Azure & Databricks).
• Data Quality & Anomaly Detection frameworks (DLT expectations, Great Expectations).
• Cost governance: tagging, dashboards, budgets/alerts.
• Advanced modeling patterns: slowly changing dimensions, snapshotting, late-arriving facts.
• Security & Compliance: data masking, tokenization, PII minimization.
  
  

• Nivel de experiencia---
• Tipo de contratoConsultor
• PublicadaNueva

Teletrabajo . Python Machine Learning

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About The Role

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you'll have the opportunity to collaborate on these projects.

Although every project is unique, you might typically:

• Design original computational STEM problems that simulate real scientific workflows
• Create problems that require Python programming to solve
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
• Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
• Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)
• Document problem statements clearly and provide verified correct answers
  
  

• You hold a Master's or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field
• You have at least 5 years of Machine Learning experience with proven business impact
• Strong programming skills in Python (numpy, pandas, scipy, sklearn)
• Solid understanding of numerical methods and computational algorithms
• Research or industry experience involving computational problem-solving
• Your level of English is advanced (C1) or above
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
• Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge
  
  

• Get paid for your expertise, with rates that can go up to $34/hour depending on your skills, experience, and project needs
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
• Work on advanced AI projects and gain valuable experience that enhances your portfolio
• Influence how future AI models understand and communicate in your field of expertise

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo Python TSQL Azure Cloud Coumputing Scala R Big Data Machine Learning

• Multinational Company-Automotive Sector
• GenIA, Azure, AI, RAG, MLOps, LLM's

¿Dónde vas a trabajar?

Multinational Company-Automotive Sector (Final Company)

Descripción

The Data Scientist / MLOPs Engineer will be responsible for the support the Strategy & Transformation`s Department in analyse, understand and draw conclusions of the data obtained by our Corporate and Business Units. Identifying methods for analysis, develops and performs data analysis.

Main responsibilities:

• Analyze, understand and draw conclusions from the corporate Data Lake and external databases
• Understand and prepare the data to carry out the models involved in our solutions.
• Design / Develop / Manage and Monitor of applications based on advanced analytics and Machine Learning using the BigData ecosystem, actively participating in the design and analysis of algorithms to solve specific company problems.
• Algorithm automation, CI/CD of developed algorithms in production environment.
• e, measurement and graphical visualization of performance to enable validations of strategies.
• Evaluate software frameworks, libraries and tools (including prototyping).

¿A quién buscamos (H/M/D)?

The Data Scientist / MLOPs Engineer will have the following experience and qualifications:

• At least 3 years of professional experience as a Data Scientist. Working with SQL and scripting languages such as R, Python and Scala
• In-depth understanding of machine learning models, their mathematical foundations and practical experience with their development.
• Strong knowledge of cloud technologies, especially Microsoft Azure Cloud
• Desirable experience in Generative AI and CHATGPT prompts ideation and implementation
• Ability to build ML models.
• English: Advanced.
• Good understanding of Commercial processes, especially in digital and/or in the automotive sector and experience with analytics in this area will be desirable.
• Analytical thinking and ability to independently steer complex products.
• Excellent team-player and problem-solving skills

¿Cuáles son tus beneficios?

Interesting professional oppportunity

Hybrid model

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 mar.

C# Python TSQL Azure Linux Docker Cloud Coumputing Kubernetes Jira PowerShell Bash DevOps RabbitMQ Office

Do you have a background in systems engineering and strong experience in DevOps? Are you an open-minded professional with good English skills? If it sounds like you, this could be the perfect opportunity to join EPAM as a Senior DevOps Engineer.

EPAM is shaping the digital future for Fortune 1000 companies, building complex solutions using modern technologies. We are looking for a Senior DevOps Engineer with an open-minded personality, who can join our friendly environment and become a core contributor to our team of experts. The position requires being on shifts: early shift: 7am - 1pm UK time, late shift: 1pm - 7pm UK time (WFO is not expected during the days a person is on shift). When you are NOT on shifts, you´ll be required to work from office 4 days per week.

Responsibilities

- Provide support to a development team from the Ops perspective
- Configure Continuous Integration and Delivery pipelines
- Configure new and already existing environments
- Participate in discussions, influence outcomes, and make recommendations on feasibility and processes and architecture
- Devise/modify procedures to solve problems considering computer equipment capacity and limitations, operating time, and desired results
- Consult with users and develop business relationships and integrate activities with other IT departments to ensure successful implementation
- Monitor and report to management on the status of project efforts, anticipating/identifying issues that inhibit the attainment of project goals and implementing corrective actions
- Foster and maintain good relationships with customers and IT colleagues to meet expected customer service levels

Requirements

- University degree in Computer Science, Engineering, or a similar discipline
- Strong PowerShell or similar scripting experience like Python or Bash
- TeamCity (or other CI tools), BitBucket (or other source version control systems), Artifactory (or other artifacts management system)
- Solid understanding of SDLC, CI/CD
- Windows and Linux operating systems
- Understanding of business domain (Finance business preference)
- Solid understanding and experience working with high availability, high performance, multi-data center systems
- Troubleshoot complex issues ranging from system resources to application stack traces
- Extensive DevOps background with varied hands-on experience of supporting and releasing technical solutions for clients, preferably in a Microsoft environment
- Problem solving and analytical thinking skills
- Outstanding team working skills and ability to work autonomously
- Very good communication skills

Nice to have

- Cloud based computing
- Azure
- Docker
- Kubernetes
- Control-M (or other job workflow systems)
- JIRA or similar technologies
- SQL databases administering experience, RDBMS optimization skills
- Ability to read and debug C# (or similar programming language) at a basic level
- Some experience working with RESTful services, AMQP (RabbitMQ, AMPS)
- SAN arrays (Nimble)
- Virtualization technologies (VMWare)

We offer/Benefits

- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 mar.

Python Agile AWS

En Serem buscamos un/ Project Manager con experiencia en Powercenter para importante cliente ubicado en Madrid.

Se requiere:

Perfil técnico AWS • Perfil técnico AWS y desarrollo Batch/BackEnd (PowerCenter, Python, servicios AWS)
• Capacidad de generar Diseños Técnicos
• Experiencia en la gestión del dato
• Experiencia en proyectos E2E hasta implantación en PROD.
• Experiencia en comunicación con áreas de Arquitectura, Infraestructura, áreas de negocio
• Experiencia en proyecto Agile. Reuniones funcionales, aterrizar los requerimientos a tareas concretas, coordinación, ejecución de las mismas y seguimiento