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채용Infosys

Databricks Administrator

Infosys

Databricks Administrator

Infosys

Hartford, CT

·

On-site

·

Full-time

·

3d ago

Infosys is seeking an experienced Databricks Administrator with strong expertise in managing, securing, and optimizing Databricks environments on cloud platform: AWS. The ideal candidate should have hands-on experience in cloud database administration, cluster management, workspace governance, performance optimization, CI/CD integrations, and platform reliability.
The role supports our client's enterprise data modernization initiatives by ensuring a robust, scalable, and secure Databricks platform for analytics and engineering teams.

Required Qualifications

  • Candidate must be located within commuting distance of Hartford, CT, Raleigh, NC, Indianapolis, IN, Richardson, TX, Phoenix, AZ, Jersey City, NJ or be willing to relocate to the area. This position may require travel in the US
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • Candidates 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
  • At least 4 years of experience in cloud-based database and platform administration (AWS/Azure).
  • At least 3 years hands-on experience administering Databricks environments.
  • Strong understanding of autoscaling, job orchestration, and pipeline execution.
  • Deep knowledge of cloud storage, networking basics, IAM, and security best practices.
  • Experience with Delta Lake, Unity Catalog, and workspace governance.
  • Proficiency in scripting (Python, Shell, PowerShell) for automation.
  • Experience with monitoring tools and log analytics (CloudWatch, Azure Monitor, Databricks Logs).
  • Familiarity with DevOps and CI/CD (GitHub Actions, Azure DevOps, Jenkins).

Preferred Qualifications

  • Databricks certifications (Admin, Associate Data Engineer, or Architect).
  • Understanding of data engineering, ETL/ELT workflows, and big data concepts.

The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

Estimated annual compensation range for candidate based in the below locations will be
Jersey City : $ 82,419 to $ 107,145
Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits :

  • 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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Infosys 소개

Infosys

Infosys

Public

Infosys 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