SAP HANA Database Administrator
2 weeks ago
Job Description:
Cloud Database Engineer (Expert Level: E3)
Highly skilled and motivated Cloud Data Engineer to spearhead the planning, deployment, support, and optimization of our highly scalable and resilient database systems. Responsible for managing various database technologies, including but not limited to SAP HANA, Cassandra, Kafka, Redis, Postgres, and Hadoop. Growth and product mindset and a strong focus on automation.
Responsibilities:
• Collaborate closely with cross-functional teams to gather requirements and work with internal teams to execute database initiatives.
• Utilize Ansible and Terraform as your arsenal to automate the provisioning and configuration of cloud infrastructure, ensuring efficient and reliable deployments.
• Provide 24x7 operational support for database systems supporting Procurement and Business Network lines of business.
• Act as the point of contact for escalated technical issues with our Engineering colleagues, demonstrating deep troubleshooting skills to provide effective resolutions to unblock our partners.
• Stay on the cutting edge of cloud and database technologies, proactively identifying opportunities for innovation and optimization.
• Have working knowledge on any of the Public Clouds like GCP, AWS, Azure.
• Be proficient in Linux-based systems and able to write scripts in Python, Shell, or equivalent scripting language.
• Have a working knowledge of Kubernetes for container orchestration and scalability, enhancing our capability to deploy and manage data services seamlessly.
Must have and Good to have skills:
Requirements:
• Bachelor's degree in computer science, Engineering, or a related field.
• Proven experience in planning, deploying, supporting, and optimizing highly scalable and resilient database systems.
• Strong knowledge and hands-on experience with database technologies such as SAP HANA, Cassandra, Kafka, Redis, Postgres, and Hadoop.
• Experience with automation tools like Ansible and Terraform for provisioning and configuration management.
• Ability to collaborate effectively with cross-functional teams to gather requirements and convert them into measurable scopes.
• Excellent troubleshooting skills and the ability to provide effective resolutions for technical issues.
• Familiarity with public cloud platforms such as GCP, AWS, or Azure.
• Proficiency in Linux-based systems and scripting languages like Python, Shell, or equivalent.
• Working knowledge of Kubernetes for container orchestration and scalability.
• Understands Agile principles and methodologies.
Refer to attached file for more details.
Number of years experiences needed: 3+
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