Data Engineering Analyst - Yzd107

What we offer- Interact with senior stakeholders on a regular basis to drive their business towards impactful change.- Become the go-to person for end-to-end data handling, management, and analytics processes.- Work with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.- Become part of a fast-growing international and diverse team.What you will do- Design, build, and maintain big data architecture and data pipeline.- Define and implement software solutions for scalability and maintainability.- Solve problems, disaggregate issues, develop hypotheses, and develop actionable solutions to support data engineering and data scientists teams.- Keep up to date with the latest industry knowledge and news to maintain and improve enterprise and business platforms.- Develop and implement CI/CD pipeline automation solutions.- Support and improve agile culture in your team.- Collaborate and work closely with teams to better understand the end-user requirements.What you'll bring- Relevant knowledge in defining and implementing data architectures optimized for performance.- At least 1-2 years of relevant experience in the Data Engineering field.- Good Spanish and English level.- Accuracy and maintainability.- Relevant knowledge in defining, implementing, and maintaining ETL processes.- Good knowledge in the implementation of data cleaning and data transformation pipelines in a Spark environment, with Python.- Relevant expertise with SQL and Apache Spark environments.- Solid grasp of OLAP architectures.Optional:Previous experience in Microsoft Azure platform.- Technical skills regarding cloud-based software architectures and cloud solution deployment and management.- Ability to collaborate and follow best practices, using Git and DevOps-based projects.- Solid grasp of the basics of CI/CD (continuous integration, deployment automation).- Comfortable with schema-on-read databases (e.G., Redis).- Comfortable with Kubernetes design and operations (k8s objects definitions and deploy, Helm charts).Optional:Previous experience with JavaScript, CSS, and HTML.#J-18808-Ljbffr