Чем предстоит заниматься
Cloud Solutions Development: Build, deploy, and maintain scalable and secure big data solutions across major cloud platforms (AWS, Azure, Google Cloud) to support advanced data processing and analytics
Data Tools Management: Configure and manage data processing tools such as Apache Spark, Kafka, Airflow, and Databricks to efficiently handle large-scale data workflows
Automation and CI/CD: Utilize Terraform for infrastructure as code, automate workflows with Jenkins, and maintain code with GitLab for continuous integration and continuous delivery processes
Performance Optimization: Monitor and optimize the performance of big data tools and cloud platforms, ensuring cost-effectiveness and operational efficiency
Security and Compliance: Implement and enforce data security measures, ensuring compliance with data protection regulations and best practices in cloud environments
Collaborative Development: Work collaboratively with data scientists, data engineers, and other stakeholders to understand requirements and deliver high-quality data solutions