Description
Role Responsibilities- Take one of our leading roles in our journey to build solutions for Data Analytics team to run their models
- Coordinating a broad span of assignments for other engineers
- Use your knowledge to build CI/CD pipelines and ensure that we have the best setup on CI/CD and integrations to a variety of modern tools and systems
- Ensure that we build, develop and run software in a DevOps setup within strong teams using agile working principles
- Take hands-on tasks on Python modules development
- Running Python batch jobs using Apache Airflow
- Development of dashboards for monitoring and data visualization
- Have direct impact on how we design and build our solutions to meet architectural principles and business requirements
- Working closely with other developers throughout the organisation to ensure development is in par with development guidelines and best practices
- Managing personal time in the best manner and taking responsibility for technical decisions aligned to business priorities and requirements
- Staying pro-active in learning new skills and industry best practices to position our solutions as top-quartile in the business
- Enjoy and sustain an informal and pleasant working environment
Requirements
- Proven experience designing and building data models
- Good knowledge in using build and deployment pipelines for cloud services using TFS/Azure DevOps, Git
- Working experience with Linux or UNIX systems
- Experience with automation, configuration management systems using CI/CD DevOps practices
- Understanding monitoring methods and tools
- Experience working with Git
- Working experience with containers - Kubernetes, Open Shift, Docker
- Hands on experience developing Python solutions using Anaconda Team Edition
- Experience building monitoring systems using ELK stack, Grafana, etc.