채용
- Infosys is seeking an Azure Databricks Admin experienced in Cloud Platform Databricks SME, responsible for overseeing the Platform administration, Security, new NPI tools integration, migrations, platform maintenance and other platform administration activities on Azure/AWS. The ideal candidate will have hands-on experience with Azure/AWS services
- Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and automation.
Databricks admin will plays a pivotal role in admin, security best practices, platform sustain support, new tools adoption, cost optimization, supporting new patterns/design solutions using the Databricks platform. This role ensures platform stability, operational efficiency, security governance, and alignment with enterprise data management strategies. The SME will work closely with Data Governance, Data Engineering, Infrastructure, and Security teams to design scalable solutions, support business users, drive metadata adoption, and maintain high availability of platforms. One will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
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Bachelor's degree or foreign equivalent required from accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
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Candidate must be located within commuting distance of Plano, TX or be willing to relocate to the area.
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At least 4 years of experience in Information Technology.
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Experience in IT cloud infrastructure, architecture and operations, including security, and Platform administration.
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Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Preferred Qualifications:
- Experience of architecture and optimize big data pipelines using Apache Spark, Delta Lake, and Databricks-native tools. Able to design scalable data ingestion and transformation workflows, including batch and streaming (e.g., Kafka, Spark Structured Streaming).
- Experience of creating integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control. Can implement data security and governance using Unity Catalog, access controls, and data classification techniques.
- Experience of supporting migration of legacy systems to Databricks on cloud platforms like Azure, AWS, or GCP. Can manage cloud platform operations with a focus on Fin Ops support, optimizing resource utilization, cost visibility, and governance across multi-cloud environments.
- Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms.
- Experience with data classification and masking techniques. Strong understanding of cloud cost management, with hands-on experience in usage analytics, budgeting, and cost optimization strategies across multi-cloud platforms.
- Strong knowledge of cloud architecture, design, and deployment principles and practices, including microservices, serverless, containers, and DevOps.
- Deep expertise in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.
- Deep expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets.
- Proficient in scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible.
- Certifications in Azure/AWS/Databricks platform administration, networking and security are preferred. Machine Learning & AI integration using MLflow, AutoML, or custom models.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
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- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off
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모의 지원자 수
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스크랩
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Infosys 소개

Infosys
PublicInfosys Limited is an Indian multinational technology company that offers information technology, business consulting, and outsourcing services. Founded in 1981 by seven engineers, the company is headquartered in Bengaluru and considered one of the Big Six Indian IT companies.
10,001+
직원 수
Bengaluru
본사 위치
$72B
기업 가치
리뷰
3.9
10개 리뷰
워라밸
3.7
보상
2.8
문화
4.1
커리어
3.2
경영진
3.4
75%
친구에게 추천
장점
Flexible work hours and remote work options
Good learning opportunities and training programs
Collaborative environment and supportive colleagues
단점
High workload and long hours during deadlines
Low salary and uncompetitive pay
Limited career advancement and growth opportunities
연봉 정보
220,463개 데이터
Junior/L3
Junior/L3 · Technology Analyst
26,472개 리포트
$79,728
총 연봉
기본급
$79,728
주식
-
보너스
-
$62,047
$102,446
면접 경험
2개 면접
난이도
3.5
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 50%
부정 50%
면접 과정
1
Application Review
2
Online Assessment
3
Technical Interview
4
HR Round
5
Final Decision
자주 나오는 질문
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Problem Solving
뉴스 & 버즈
Alycia Baumgardner handily defeats Bo Mi Re Shin to retain unified super featherweight title - Dallas News
Dallas News
News
·
3d ago
How Infosys's $560 million Optimum-Stratus deals stack up: Decoding gains & margin trade-offs - MSN
MSN
News
·
3d ago
Infosys appoints former Disney CIO Diane Enberg Jurgens as independent director - ETLegalWorld.com
ETLegalWorld.com
News
·
3d ago
Earnings Preview: Infosys to Report Financial Results on April 23 - Moomoo
Moomoo
News
·
3d ago