Data Engineering Analyst - Yzd107
Responder al anuncioWhat 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
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