Data Engineering Specialist
hace 2 semanas
About the Role
Metyis is seeking a highly skilled Data Engineering Analyst to join our team. As a Data Engineering Analyst, you will play a critical role in designing, building, and maintaining big data architecture and data pipelines.
Key Responsibilities
- Design and implement scalable and maintainable data architectures and data pipelines.
- Collaborate with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
- Work closely with teams to better understand end-user requirements and develop solutions to support data engineering and data scientists teams.
- Develop and implement CI/CD pipeline automation solutions.
- Support and improve agile culture in your team.
Requirements
- 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 Requirements
- 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).
- Previous experience with JavaScript, CSS, and HTML.
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