Data Engineer

hace 1 mes

Zaragoza, Zaragoza, España Datais A tiempo completo
About Datais

Datais is a consultancy that specializes in the design and execution of data and artificial intelligence projects. We adopt an integrated approach to cover the entire data cycle and strategy, fostering trust and collaboration to provide data and AI solutions and tailored support services, including training and consulting.

Our Mission

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.

Job Description

We are looking for a Data Engineer with 3+ years of experience to join our team based in Madrid. As a Data Engineer, you will design and implement solutions processing large and unstructured datasets, design, build, and maintain big data architecture and data pipeline, develop and implement CI/CD pipeline automation solutions, and implement, optimize, and test modern DWH/Big Data solutions based on Azure cloud, GCP, or AWS platform and Continuous Delivery/Continuous Integration environment.

Responsibilities
  1. Design and implement solutions processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture).
  2. Design, build, and maintain big data architecture and data pipeline.
  3. Develop and implement CI/CD pipeline automation solutions.
  4. Implement, optimize, and test modern DWH/Big Data solutions based on Azure cloud, GCP, or AWS platform and Continuous Delivery/Continuous Integration environment.
  5. Improve data processing efficiency and manage migrations from on-prem to public cloud platforms.
  6. Build relationships with client stakeholders to establish a high level of rapport and confidence.
  7. Work with clients and teams to deliver modern data products.
  8. Drive to build your own prototype solutions and provide training and guidance to team members and partners.
Requirements

To be successful in this role, you will need:

  • 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.

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