GCP Data Engineer - AI & Analytics Specialist

Infosys; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Long-term disability

Short-term disability

Dependent care reimbursement accounts

401(k) plan

Job summary

Infosys DNA is seeking a Technology Consultant 2 to drive data and analytics solutions. You will contribute to requirements elicitation, facilitate design discussions, and code while ensuring system stability.

The role emphasizes responsive issue resolution and knowledge sharing across teams. Ideal candidates bring cloud platform experience (Google Cloud, BigQuery, Dataflow, Airflow), SQL skills, and a solid grasp of data warehouse architecture and data presentation.

Qualifications

• Bachelor’s degree or foreign equivalent required; consideration for progressive experience in lieu of education.
• Experience with cloud-based data analytics and data warehousing concepts.
• Strong understanding of SDLC and data presentation requirements.

Responsibilities

• Contribute to requirements elicitation by documenting assigned parts of business needs.
• Facilitate design discussions and document decisions guiding development.
• 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 materials and support frameworks for new software.
• Resolve production issues and propose preventive reliability strategies.
• Maintain records of code, tests, and support activities for the knowledge base.
• Collaborate with cross‑functional teams and support software integration.
• Handle end-to-end SDLC from requirements gathering to implementation.

Skills

Google Cloud

BigQuery

Dataflow

Airflow

SQL

Data warehouse

Architecture design

Data presentation

Education

Bachelor’s degree

Tools

Tableau

Job description

Infosys DNA is seeking a Technology Consultant 2 to drive data and analytics solutions. You will contribute to requirements elicitation, facilitate design discussions, and code while ensuring system stability.

The role emphasizes responsive issue resolution and knowledge sharing across teams. Ideal candidates bring cloud platform experience (Google Cloud, BigQuery, Dataflow, Airflow), SQL skills, and a solid grasp of data warehouse architecture and data presentation.