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Data Engineer

Data Engineer

DATAISMadrid, Comunidad de Madrid, España
Hace más de 30 días
Descripción del trabajo

DATAIS, a consultancy specializing in the design and execution of data and artificial intelligence projects, adopts an integrated approach to cover the entire data cycle and strategy. As a network of expert professionals, DATAIS fosters trust and collaborates to provide data and AI solutions, and tailored support services, including training and consulting.

Born as a spin-off of VISUALITICS focused on data analysis and visualization expertise, our projects have expanded to engage with diverse aspects of the data landscape.

We want to empower our clients with a competitive advantage by unlocking true value and creating meaningful, actionable, and timely business insights with our ability to use state-of-the-art technologies and algorithms. We develop the strategic, technical, and human capabilities that take companies from vision to value and create truly data-driven organizations.

We are now looking for Data Engineers (3+ years of experience) to join our team based in Madrid. Would you like to work in a young and friendly environment? If you love technology, challenges, and are willing to contribute to our mission, then you could be the person we are looking for!

Tareas

As a Data Engineer you will :

  • Design and implementation of solutions processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture)
  • Design, build and maintain big data architecture and data pipeline
  • Develop and implement CI / CD pipeline automation solutions.
  • Implementation, optimization, and testing of modern DWH / Big Data solutions based on Azure cloud, GCP, or AWS platform and Continuous Delivery / Continuous Integration environment
  • Data processing efficiency improvement, migrations from on-prem to public cloud platforms.
  • Build relationships with client stakeholders to establish a high level of rapport and confidence
  • Work with clients and teams to deliver modern data products
  • You are a very creative person, who drives to build your own prototype solutions and provides training and guidance to team members and partners.

Qualifications & Competences :

3+ years of experience in Data Engineering field

  • Degree in Engineering, Computer Science, or other scientific fields
  • Data Enthusiast : Driven by a passion for data and technology.
  • ETL Maestro : Skilled in orchestrating ETL processes with precision and finesse.
  • Spark Wizard : Adept at conjuring data cleaning and transformation magic in a Spark / Scala environment using Python.
  • SQL Sage : Master of SQL and the Apache Spark realm.
  • OLAP Explorer : Navigates OLAP architectures with ease.
  • Cloud Commander : Technically savvy in architecting and managing cloud-based solutions.
  • DevOps and Kubernetes explorer : Loves working collaboratively and follows best practices in Git and DevOps.
  • Data Alchemist : Comfortable with schema-on-read databases like Redis.
  • Meticulous Organizer : Possesses an eye for detail and organizational finesse.
  • Independent Trailblazer : Thrives when working proactively and autonomously.
  • Problem-Solving Maestro : Solves challenges through information gathering, thoughtful evaluation, and ingenious solutions.
  • Great communicator, both verbal and written.
  • Pressure Player : Thrives under pressure, even within complex organizational landscapes.
  • English Pro : Proficiency in English is non-negotiable.
  • What do we offer :

  • Semi-annual bonus on target achievement
  • Remote or Hybrid work
  • Wellness days
  • Friendly and challenging working environment
  • Lifelong learning mindset with budget for certifications, training, and personal development
  • Be protagonist of disruptive tech events in collaboration with several tech communities, scaleups, Universities, and Bootcamps
  • Become a part of our community on LinkedIn to discover more about our activities and stay updated on all the latest news in machine learning, big data, and AI.

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    Data Engineer • Madrid, Comunidad de Madrid, España