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职位Infosys

Hadoop and PySpark Lead Developer

Infosys

Hadoop and PySpark Lead Developer

Infosys

Irving, TX

·

On-site

·

Full-time

·

1d ago

Infosys is seeking a Hadoop and Py Spark Lead Developer. In this role, one will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. One will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. Candidate will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

  • Candidate must be located within commuting distance of Tampa/FL, Irving/TX or be willing to relocate to the area.
  • At least 4 years of experience in Information Technology.
  • Experience to develop/lead Big Data solutions at enterprise scale with at least one end-to-end implementation
  • 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
  • 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:

  • Expertise in software development building large scale distributed data processing systems/application, Data Engineering or large-scale internet systems.
  • Strong experience in programming languages: Big Data, Spark/Py Spark, SQL, Python, and Shell scripting.
  • Good experience with Spark/Hadoop/HDFS architecture, YARN, Confluent Kafka, HBase, Hive, Impala, and NoSQL databases
  • Experience with batch processing and Auto Sys job scheduling and monitoring
  • Performance analysis, troubleshooting, and resolution (including familiarity with Cloudera/Hadoop logs)
  • Experience working with Cloudera on open issues leading to cluster configuration changes and implementation. Strong experience with databases such as SQL, Hive, Elasticsearch, HBase, etc.
  • Knowledge of Hadoop security, data management, and governance
  • Good understanding of data integration, data quality and data architecture. Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data

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:

    • 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

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关于Infosys

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+

员工数

Bengaluru

总部位置

$72B

企业估值

评价

3.9

10条评价

工作生活平衡

3.7

薪酬

2.8

企业文化

4.1

职业发展

3.2

管理层

3.4

75%

推荐给朋友

优点

Flexible work hours and remote work options

Good learning opportunities and training programs

Collaborative environment and supportive colleagues

缺点

High workload and long hours during deadlines

Low salary and uncompetitive pay

Limited career advancement and growth opportunities

薪资范围

220,463个数据点

Junior/L3

Junior/L3 · Technology Analyst

26,472份报告

$79,728

年薪总额

基本工资

$79,728

股票

-

奖金

-

$62,047

$102,446

面试经验

2次面试

难度

3.5

/ 5

时长

14-28周

体验

正面 0%

中性 50%

负面 50%

面试流程

1

Application Review

2

Online Assessment

3

Technical Interview

4

HR Round

5

Final Decision

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Problem Solving