AT&T Inc., an abbreviation for its predecessor's former name, the American Telephone and Telegraph Company, is an American multinational telecommunications holding company headquartered at Whitacre Tower in Downtown Dallas, Texas. It is the world's third largest telecommunications company by revenue and the third largest wireless carrier in the United States. As of 2023, AT&T was ranked 13th on the Fortune 500 rankings of the largest United States corporations
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Roles & Responsibilities
Minimum 6+ years of experience in the fundamental technology work of architecting/designing/building/managing/Optimizing the core frameworks for our cloud-based system platforms and end-to-end solutions.
Responsible for optimization of cloud infrastructure, including Databricks , ADLS, Blob, VMs etc.,
Conduct Proof-of-Concept activities in support of advanced use cases.
Must have architectural focus for ensuring availability, reliability and scalability are necessary
Responsible for documenting the technical solutions
Administer and manage Azure Databricks workspaces, clusters, and jobs with a focus on maximizing efficiency and performance.
Implement and manage Unity Catalog to provide centralized governance and fine-grained access control across data assets.
Design and execute cost optimization strategies, including monitoring cluster usage, autoscaling, and resource allocation to minimize cloud expenses.
Collaborate with data engineers and security teams to enforce data governance, compliance, and security policies using Unity Catalog.
Automate deployment, scaling, and monitoring tasks using scripting and cloud-native tools.
Troubleshoot and resolve issues related to Databricks clusters, jobs, and Unity Catalog configurations.
Responsible for working with international teams spread across multiple time zones.
Must Have:
6 to 8 years of hands-on experience administering Azure Databricks in cloud environments.
In-depth knowledge and experience with Unity Catalog for data governance and security.
Proven expertise in cost optimization for Databricks clusters and cloud resources.
Strong understanding of Databricks architecture, cluster management, and job orchestration.
experience in RDBMS, ANSI SQL/PL SQL, Hadoop, Python and/or Java,spark/Pyspark.
Proficiency in Spark architecture, including cluster management, job scheduling, and performance tuning.
Experience in Azure DevOps, Git/Github.
Azure Event Hub/ Azure Event Grid / Kafka
Hands-on experience with scripting languages such as Python, Scala, or SQL.
Experience with infrastructure-as-code tools like Terraform or ARM templates.
Solid understanding of data security, governance, and compliance standards.
Excellent problem-solving skills and ability to work in a collaborative environment.
Strong communication skills and ability to explain technical concepts to non-technical stakeholders.
Additional experience:
Hadoop Administration and/or Azure cloud Administration
Working with Object storage ( ADLS/Blob or S3), Kubernetes (preferably AKS)
Azure AD/ OpenID /OAuth/ SAML
NSG /Firewall deployment and usage
DNS configuration and management
Automation through Ansible or Teraform or Azure DevOps
Basic Linux administration and Shell scripting (Bash)
Good documentation skills
Ability to troubleshoot to isolate and diagnose common technical problems
Monitoring and use of monitoring tools for managing critical infrastructure
Preferred Certifications:
Microsoft Certified: Azure Administrator Associate/ Microsoft Certified: Azure Solutions Architect Expert
Databricks Accredited Platform Administrator Accreditation