About the project

• In your role as a Cloud Engineer you will be working in the Big Data Cluster, which is the enabler for data scientists and provides a huge collection of data and a data science workbench in one place.
• On a daily basis you will develop products based on database technology which are running in the On-Premise or Cloud. Your responsibilities will encompass the full Software Development Lifecycle including analysis, architecture, testing and also supporting during production issues during normal working hours.
• The Big Data cluster is the enabler for data scientists and provides a huge collection of data and a data science workbench in one place.
• • BI technology within the lake infrastructure
• • Establish a stable, state-of-the-art technology base with on-prem and cloud solutions
• • Set up data lake as single data and analytics hub and effectively ingest most important data sources
• • Establish data quality and metadata management
• • Provide Data Marts and sandboxes for segments and functions with the most important combination of data sources

Your responsibilities

• Developing data models, designing and implementing ETL processes on cloud platforms (in particular Google Cloud), and ensuring data quality and integrity throughout the data lifecycle
• Implementing new features to enable new business cases
• Focusing on stability, performance tunning and innovation of the applications
• Taking care of proper up-to-date system documentation
• Actively contributing to knowledge sharing and to a learning culture
• Working in the international projects in agile methodologies

Our requirements

• Cloud Data Development:
• Design and develop cloud-based solutions using Google Cloud Platform
• Optimize data infrastructure for performance, scalability and reliability
• Infrastructure as Code (IaC):
• Utilize Terraform to create and manage cloud resources efficiently
• Implement CI/CD pipelines for automated deployment and continuous integration
• Microservices and API:
• Work with microservices architecture and design APIs for seamless data integration
• Scripting and Testing:
• Proficient in Python and SQL for ETL processes, schema evolution pipeline development and performance tuning
• Develop, test, and deploy solutions using Dataproc, Dataflow, and Cloud Functions

Technologies we use

This is how we work on a project

• Continuous Deployment

• Continuous Integration

What we offer

• Friendly and multicultural environment

• 26 days of holiday from the very beginning