PySpark Engineer: Data & AI Solutions

Infosys Limited; Town of Texas (WI); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Long-term/Short-term Disability

Health and Dependent Care Reimbursement Accounts

Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)

401(k) plan

Job summary

Infosys Limited is seeking a skilled Data and Analytics professional to transform data into actionable insights and drive business growth. The successful candidate will be involved in coding, software design discussions, and ensuring high-quality software through detailed testing.

Applicants should have a Bachelor’s degree or equivalent experience, and familiarity with technologies like Spark, Python, and NoSQL databases is preferred. This role may involve relocation and offers a dynamic, collaborative work environment with comprehensive benefits.

Qualifications

• Experience with Spark/Hadoop/HDFS architecture and related tools.
• Experience in programming languages like Python and SQL.
• Experience in working with NoSQL databases.

Responsibilities

• Document business requirements and facilitate software design discussions.
• Participate in coding and integrating new features into applications.
• Conduct code reviews and maintain code repositories.
• Implement test strategies and coordinate bug fixes.

Skills

Spark/Hadoop/HDFS architecture

YARN

Confluent Kafka

HBase

Hive

Impala

NoSQL databases

Python

SQL

Shell scripting

Education

Bachelor’s degree or foreign equivalent

Job description

Infosys Limited is seeking a skilled Data and Analytics professional to transform data into actionable insights and drive business growth. The successful candidate will be involved in coding, software design discussions, and ensuring high-quality software through detailed testing.

Applicants should have a Bachelor’s degree or equivalent experience, and familiarity with technologies like Spark, Python, and NoSQL databases is preferred. This role may involve relocation and offers a dynamic, collaborative work environment with comprehensive benefits.