PySpark Data Engineer – Databricks & Cloud

Infosys Limited; Richardson (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Disability benefits

Health and Dependent Care Reimburse

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys Limited's Data and Analytics (DNA) unit in Richardson, TX, invites you to join as a Technology Consultant 2. You will work on data engineering, analytics, and AI-driven solutions to transform business processes and deliver measurable value.

You will contribute across the SDLC, document requirements, design software, code, review, test, and help production support, while collaborating with cross-functional teams to ensure scalable, reliable data platforms.

Qualifications

• Experience building scalable batch and real-time data engineering solutions.
• Proficient with Databricks, AWS, Python/PySpark, Scala, Spark, Kafka, CDC, Unity Catalog and SQL.

Responsibilities

• Contribute to requirements elicitation by documenting business requirements.
• Facilitate software design discussions and document design decisions.
• Participate in coding and integrate new features while maintaining stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes.
• Develop user training programs, documentation, and support frameworks.
• Resolve production issues and implement preventive strategies.
• Maintain detailed records of code, testing techniques, and support activities.

Skills

Collaboration

End-to-end SDLC

Requirements translation

Hands-on coding

Testing & debugging

Cross-functional teamwork

Education

Bachelor’s degree or foreign equivalent

US work authorization

Tools

Databricks

AWS

Python/PySpark

Scala

Spark

Kafka

CDC

Unity Catalog

SQL

Job description

Infosys Limited's Data and Analytics (DNA) unit in Richardson, TX, invites you to join as a Technology Consultant 2. You will work on data engineering, analytics, and AI-driven solutions to transform business processes and deliver measurable value.

You will contribute across the SDLC, document requirements, design software, code, review, test, and help production support, while collaborating with cross-functional teams to ensure scalable, reliable data platforms.