Azure Databricks Data Engineer: AI-Driven Analytics

Infosys; Ann Arbor (MI); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Long-term/Short-term Disability

401(k) plan

Paid holidays and PTO

Job summary

Infosys is seeking a Technology Consultant 2 to join the Data and Analytics DNA unit in the United States. The role focuses on documenting business requirements, guiding design discussions, and coding updates within a Databricks and Azure data engineering environment.

You will collaborate with onsite stakeholders, translate complex requirements into actionable tasks, and contribute to the end-to-end SDLC from design through production support.

Qualifications

• Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python).
• Experience designing, building, and optimizing scalable data pipelines using Azure Databricks.
• Experience with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git/GitLab).
• Experience collaborating with onsite stakeholders and cross‑functional teams to gather requirements and deliver solutions.

Responsibilities

• Contribute to requirements elicitation by documenting assigned parts of business requirements.
• Facilitate software design discussions and document design decisions for the technical team.
• Participate in coding and integrate new features into existing applications, maintaining system stability.
• Conduct code reviews and maintain code repositories.

Skills

Databricks

Azure Data Engineering

PySpark

SQL

Python

Git/GitLab

Education

Bachelor’s degree

Tools

Git/GitLab

Job description

Infosys is seeking a Technology Consultant 2 to join the Data and Analytics DNA unit in the United States. The role focuses on documenting business requirements, guiding design discussions, and coding updates within a Databricks and Azure data engineering environment.

You will collaborate with onsite stakeholders, translate complex requirements into actionable tasks, and contribute to the end-to-end SDLC from design through production support.