.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. Would you like to work in a young and friendly environment? If you love technology, challenges and 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 pipelineDevelop 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 environmentData processing efficiency improvement, migrations from on-prem to public cloud platforms.Build relationships with client stakeholders to establish a high level of rapport and confidenceWork with clients and teams to deliver modern data productsYou are a very creative person, who drives to build your own prototype solutions and provides training and guidance to team members and partners.RequisitosQualifications & Compentences:3+ years of experience in Data Engineering fieldDegree in Engineering, Computer Science, or other scientific fieldsData 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 and best practices Steers the ship of Kubernetes even if you're just starting out. Data Alchemist: Comfortable with schema-on-read databases like Redis.Meticulous Organizer: Possesses an eye for detail and organizational finesse
