Leads migration and operation of enterprise SQL Server, cloud, and NoSQL database platforms across on-premises and public cloud environments. Responsibilities include database administration, performance tuning, high availability, disaster recovery, security, automation, scripting, troubleshooting, migration tooling, and cross-functional support in a 24/7 environment.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
OVERVIEW
The Digital and Technology team of General Mills India Centre is looking for MS SQL Server / Cloud database administrator (DBA) with Operations-oriented skill sets to support Cloud/On Prem databases. This opportunity is in a fast-paced environment as we migrate and refactor enterprise scale databases from our on-premises datacenters to cloud environment. Have experience operating in a fast-paced, complex, and multi-platform environment.
KEY ACCOUNTABILITIES
- Technical leadership for migrating existing MS SQL Server and No SQL Databases to Public Cloud.
- Migrating databases to GCP or any public cloud
- Development and ownership of migration processes, documentation, and tooling
- Expertly administer and manage mission-critical, complex, and high-volume Database Platforms in a 24/7 environment
- SQL Server administration, implementing best practices and resolving complex performance issues
- Setting up PostgreSQL, MySQL and NoSQL DBs (MongoDB) its maintenance and troubleshooting.
- Adhere to cloud security standards or best practices to avoid security breaches and reduce system vulnerability.
- Scripting and Automation
- Implementation and support of AlwaysOn and Failover Clustering.
- Database support lifecycle activities.
- Collaborate cross function to resolve tickets.
- Collaborate with application stakeholders.
- Have exposure of working within Agile framework.
- Administer, troubleshoot, and resolve failures and critical alerts.
MINIMUM QUALIFICATIONS
- 9+ years of hands-on experience with leading design, refactoring, or migration of databases in cloud Infrastructures and services for at least one of Microsoft Azure, Amazon Web Services, and Google GCP (preferred)
- Experience maintaining and administering with CI/CD tools such as Ansible, Puppet, GitHub and Artifactory in a cloud environment and developing/writing scripts using advanced DevOps languages such as Python, PowerShell is a plus.
- Experience working with infrastructure as code such as Terraform, or equivalent is a plus.
- Experience with concepts, processes & tools required for cloud adoption including cloud security, governance, and integration.
- Experience with SQL Server AlwaysOn and Windows clustering.
- Experience with agile techniques and methods.
- Familiarity with user expectations for cloud Databases (to be able to design user centric engineering services – e.g., provisioning self-service workflow)
- Working knowledge on DevOps, Agile development proceses, exploration and POCs
- Works well collaboratively across functional team boundaries
PREFERRED QUALIFICATIONS
- Must have good understanding & hands-on experience of Linux OS and Windows Server (2012+).
- Experience working with high availability, disaster recovery, backup strategies and server tuning strategies including parameters, resources, contention, etc.
- Excellent interpersonal and communication skills.
- Ability to work in a fast-paced team environment
- Candidate should be flexible, reliable, can take initiative, can deal with responsibility, and have a "can do" mentality.
ELIGIBILITY
Applicants must meet minimum age qualifications in the country in which the job is located.
General Mills Mumbai, Maharashtra, IND Office
Mumbai, India
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