Qim info presta servicios de consultoría e ingeniería informática. Sus equipos trabajan, entre otros ámbitos, en el desarrollo de software, la nube, los datos y la calidad de los sistemas.
Databricks Consultant / Data Engineer
Qim Info incorpora un consultor Databricks / Data Engineer para diseñar y mantener pipelines de datos y procesos ETL/ELT. El puesto es totalmente remoto y requiere, entre otras competencias, Databricks, Python, PySpark, SQL y un nivel profesional de inglés.
Datos sobre Qim Info
- Dominio oficial
- qiminfo.ch
- Ofertas abiertas
- 1
Detalles de la oferta
La descripción completa publicada por Qim Info.
Description de l’offre
Founded in 2004, Qim info is an IT engineering and digital services company with offices in Switzerland 🇨🇭 (Geneva, Lausanne, Zurich and Basel) and France 🇫🇷 (Annecy, Lyon and Paris). As part of the MoOngy Group, the company also benefits from an international development network 🌐. Ranked as the third-largest IT company in French-speaking Switzerland (ICT Journal), Qim info is, above all, a community of consultants able to contribute at every level of an information system across a wide range of fields (Software Development 💻, Functional Consulting 🔧, Infrastructure & Networks 🌐, Data 📊, DevOps 🚀…) and industries (Banking 🏦, Finance 💰, Insurance 📜, Luxury ✨, Retail 🛍️, Aerospace ✈️…).
With over 650 employees, we are always looking for new talent! In a nutshell 🎯 We are currently recruiting an Databricks Consultant / Data Engineer to support one of our client’s teams. Location: Fully Remote Contract Type: Freelance / Contract Duration: Minimum 12 months Daily Rate: CHF 300/day (fixed rate)
Key Responsibilities
- Design, develop, and maintain end-to-end data pipelines using Databricks .
- Build scalable ETL/ELT processes for structured and semi-structured data.
- Develop data transformations using Python, PySpark, and SQL .
- Optimize Spark jobs, data models, and queries for performance and cost efficiency.
- Implement and manage Delta Lake architectures and data quality processes.
- Collaborate with technical and business teams to understand data requirements.
- Ensure the reliability, security, and documentation of data solutions.
- Participate in code reviews and contribute to engineering best practices.
Required Skills
Proven experience as a Data Engineer , with strong hands-on expertise in Databricks .
- Strong knowledge of Apache Spark / PySpark , Python, and SQL.
- Experience with data lakes, Delta Lake, ETL/ELT, and data warehousing concepts.
- Experience with cloud platforms, ideally Azure and Azure Databricks.
- Knowledge of CI/CD, Git, and DevOps practices is a plus.
- Strong problem-solving and communication skills.
- Professional level of English.
Additional Information
This is a fully remote role.
- Long-term assignment with a minimum commitment of one year .
- Fixed daily rate: CHF 300/day . Our
Recruitment Process
Initial call: Our recruitment team will take the time to understand your background and career aspirations 🎧 Interview with a Business Manager Technical interview Why Join Qim info? Recognised expertise: Active across around ten industries, with in-depth knowledge of IT professions and challenges 🌐 High-quality HR and managerial support: We support your professional development and provide guidance throughout your assignments 🌟 Company culture: Share more than just a coffee break! Qim Tech Talks, annual and quarterly events, Qim afterworks…
Numerous events are organised throughout the year 🎉 Consultant satisfaction: At Qim info, people enjoy working here — and our consultants say it best on Glassdoor, where we have a 4.1/5 rating 🌟
Requisitos
- sólida capacidad de resolución de problemas
- habilidades de comunicación
Ventajas mencionadas
- desarrollo profesional
- apoyo de RR. HH. y de la dirección
- Qim Tech Talks
- eventos anuales y trimestrales
- encuentros Qim afterworks
Inscribirme en esta oferta
¿Cómo inscribirme?
La oferta está publicada en el sitio de Qim Info. Abre la oferta original ↗ para enviar tu candidatura. Screeningpass no rellena formularios por ti.
¿A quién escribir en Qim Info para este puesto?
Inicia una búsqueda de contacto desde esta página. Screeningpass te propone hasta tres personas vinculadas al puesto. Tú eliges a quién escribir y Screeningpass busca su correo profesional y prepara un mensaje. Lo revisas y lo envías tú con Gmail. No siempre hay una dirección de correo disponible y nunca se garantiza una respuesta.
¿Cuánto cuesta buscar un contacto?
Una búsqueda cuesta 1 crédito. Se te devuelve si la búsqueda falla. Al registrarte recibes 3 créditos, para hacer 3 búsquedas.
¿Para qué sirve Screeningpass?
Screeningpass reúne ofertas de prácticas, formación dual y empleo publicadas por las empresas. Para una oferta, Screeningpass encuentra una persona con la que contactar en la empresa, busca su correo profesional y prepara un mensaje a partir de tu CV. Ver el funcionamiento en detalle.