Azure Databricks Data Engineer | Build Scalable Pipelines

Infosys Limited; Ann Arbor (MI); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Disability insurance

Health care reimbursement accounts

Insurance: Accident, Critical Illness,

401(k)

Job summary

Infosys Limited, part of the Infosys Data and Analytics (DNA) unit, seeks a Technology Consultant 2 to drive data engineering initiatives. You will document requirements, participate in design discussions, code, review, and implement test strategies while ensuring quality and reliability across enterprise data platforms.

The role requires hands‑on Databricks experience, Azure Data Engineering stack, and collaboration with cross‑functional teams to deliver scalable data solutions.

Qualifications

• Bachelor’s degree or foreign equivalent; will consider three years of progressive experience in lieu of every year of education
• Experience designing, building, and optimizing scalable data pipelines
• Experience collaborating with onsite stakeholders and cross-functional teams to gather requirements and deliver solutions

Responsibilities

• Document assigned parts of business requirements and guide design discussions
• Participate in coding and integrate new features into existing applications
• Conduct code reviews and maintain code repositories
• Implement test strategies and coordinate bug fixes
• Develop user training and documentation for new software
• Resolve production issues and suggest preventive measures
• Maintain detailed records to enrich knowledge base and assist similar projects

Skills

Databricks

PySpark

SQL

Python

Azure data engineering

Version control

Education

Bachelor’s degree in CS or related field

Tools

Git/GitLab

ADF

ADLS

Blob storage

Job description

Infosys Limited, part of the Infosys Data and Analytics (DNA) unit, seeks a Technology Consultant 2 to drive data engineering initiatives. You will document requirements, participate in design discussions, code, review, and implement test strategies while ensuring quality and reliability across enterprise data platforms.

The role requires hands‑on Databricks experience, Azure Data Engineering stack, and collaboration with cross‑functional teams to deliver scalable data solutions.