Full life-cycle experience on strategizing Data Centre and Huge Data migration to Cloud.
Proven work experience as a Cloud Administrator and Solutioning, familiarity in deploying resources through IaaC such as Terraform, CI/CD: ADO, Github actions Operational Tool : Ansible.
Strong Experience in Unix/Linux system, files systems and an added advantage to have shell scripting.
Strong knowledge on cloud platforms: Azure is must
Strong hands-on working knowledge in Linux(Mandate)/Unix, Kubernetes/Docker( Mandate)
Python scripting good to have.
Hands on working experience with Azure/AWS, Terraform( Mandate), Ansible( good to have)
Experience with Azure infrastructure, including implementing, monitoring and maintaining Azure compute, storage, network and security services.
Understanding Cloud concepts such as Compute options and Blob Storage and experience with Cloud infrastructure management with Infrastructure as Code, Certifications that demonstrate Cloud knowledge in any major Cloud (AWS, Azure, GCP)
Strong awareness of networking and internet protocols, including TCP/IP, DNS, HTTP and distributed networks
Deep understanding of Databases, Datawarehouse’s in general
Understanding the concepts of Data engineering ( Preferred)
Strong background in troubleshooting with the ability to troubleshoot and identify the root cause for any issue (OS, App, infra-apps).
Snowflake (environment creation, management and network connectivity)(Good to have)
Databricks (Working with Databricks platform and integration) (Good to have)
Additional Skills Required:
The ideal candidate should have at least 5-8 years of experience in IT along in addition to the following:
3+ years of experiences working with Cloud environment (Azure ), Terraform, Docker, Kubernates, Ansible(Good to have)
2+ Years of working experience with Data and Analytics ETL tools implementation
1 – 3+ years of experience working with Info works, Snowflake, Databricks ( Good to have)
Technical Qualifications:
Preferred:
Bachelor's degree in Computer Science, Information Systems, or a related field.
Experience in high-tech, software, or telecom industries is a plus.
Strong analytical skills to translate insights into impactful product initiatives.
#DataEngineering
Weekly Hours:
40
Time Type:
Regular
Location:
Bangalore, Karnataka, India
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
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