Starburst Data Engineer: AI-Driven Analytics & Cloud

Infosys; Charlotte (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Job summary

Infosys is seeking a Technology Consultant 2 to design, build, and optimize data products and pipelines in a fast-paced Financial Services environment. You will implement Starburst-based data flows, write complex SQL, and develop analytics using Python, Tableau, and MicroStrategy to empower decision-makers.

You’ll collaborate across teams to ensure data quality, governance, and scalable solutions, while supporting production parity and training for end users.

Qualifications

• Design, build, and maintain scalable data products and data pipelines using Starburst.
• Write complex SQL and optimize queries across large datasets.
• Develop analytics workflows using Python and BI tools.
• Experience with data governance, security and quality practices.
• Collaborate with business users to translate requirements into analytics solutions.

Responsibilities

• Contribute to data engineering and analytics requirements.
• Build and maintain data pipelines and integrations.
• Develop dashboards and reports for stakeholders.
• Ensure data quality, security, and governance across platforms.
• Collaborate with data scientists and analysts to deliver analytics products.

Skills

Data engineering

SQL

Python

BI dashboards

Cross-functional collaboration

Education

Bachelor's degree or foreign equivalent

Tools

Starburst

Tableau

MicroStrategy

Hadoop (Cloudera)

Cloud platforms (AWS/Azure/GCP)

Job description

Infosys is seeking a Technology Consultant 2 to design, build, and optimize data products and pipelines in a fast-paced Financial Services environment. You will implement Starburst-based data flows, write complex SQL, and develop analytics using Python, Tableau, and MicroStrategy to empower decision-makers.

You’ll collaborate across teams to ensure data quality, governance, and scalable solutions, while supporting production parity and training for end users.