.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 IA 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. If you love technology, challenges and are willing to contribute to our mission, then you could be the person we are looking for!TareasAs 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- Drive to build your own prototype solutions and provide training and guidance to team members and partners.RequisitosQualifications & Competences:3+ years of experience in the 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 data cleaning and transformation 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: Familiar with best practices in Git and DevOps, and Kubernetes.- 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
