Cloud Engineering Expert for Data Analytics
1 miesiąc temu
We are seeking a seasoned Cloud Engineering Expert to join our team and contribute to the development of our Data Analytics Platform in Google Cloud.
About the RoleThis is an exciting opportunity for a motivated and experienced professional to work with us on building a scalable and secure data analytics platform. As a key member of our team, you will be responsible for designing, developing, and maintaining cloud-based solutions that meet our business requirements.
Key Responsibilities:
- Design and develop cloud infrastructure using Terraform and Azure DevOps pipelines
- Implement public cloud networking and managed cloud services such as GKE, GCS, BQ, and Dataproc
- Maintain distributed monitoring and logging systems using Prometheus and Elastic Stack
- Ensure secure authentication using OIDC
- Develop Python-based applications and services
- Maintain and improve existing infrastructure and services
ING is a global bank that operates in over 40 countries, providing a wide range of financial services to individuals, businesses, and institutions. Our goal is to become the best digital bank for our customers, and we are committed to innovation and excellence in everything we do.
In this role, you will be part of a dynamic and multi-cultural team that is passionate about delivering high-quality solutions. You will have the opportunity to work with cutting-edge technologies and collaborate with experts from around the world.
About the TeamYou will be joining a team of experienced engineers and developers who are dedicated to building a world-class data analytics platform. We are a collaborative and supportive team that values innovation, creativity, and open communication.
We believe in continuous learning and growth, and we provide opportunities for professional development and career advancement. If you are a motivated and experienced professional who is passionate about cloud engineering and data analytics, we encourage you to apply for this exciting opportunity.
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