Starburst Data Engineer: Build scalable pipelines

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

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan

Paid holidays plus PTO

Job summary

Infosys is seeking a Technology Consultant 2 to advance data engineering efforts in our Financial Services unit in Charlotte, NC. The role emphasizes building scalable data pipelines with Starburst, writing performant SQL, and delivering analytics-ready dashboards using Tableau and MicroStrategy.

You will collaborate with data scientists and business users to translate requirements into robust solutions, participate in SDLC, and ensure data quality through testing and documentation.

Qualifications

• Design, build, and maintain scalable data products and pipelines using Starburst.
• Write complex SQL across large datasets with attention to performance, reliability, and security.
• Develop dashboards using BI tools like Tableau and MicroStrategy for analytics-ready data.
• Collaborate with data scientists, analysts, and stakeholders to deliver high-quality data solutions.
• Apply best practices for data quality, testing, and documentation.

Responsibilities

• Contribute to requirements elicitation by documenting business requirements.
• Facilitate design discussions and document decisions for the software team.
• Participate in coding and integrate features with focus on stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies and coordinate bug fixes.

Skills

Starburst data pipelines

SQL

Python

BI dashboards

Data collaboration

SDLC

Education

Bachelor's degree or foreign equivalent

Tools

Cloudera Hadoop

Tableau

MicroStrategy

Job description

Infosys is seeking a Technology Consultant 2 to advance data engineering efforts in our Financial Services unit in Charlotte, NC. The role emphasizes building scalable data pipelines with Starburst, writing performant SQL, and delivering analytics-ready dashboards using Tableau and MicroStrategy.

You will collaborate with data scientists and business users to translate requirements into robust solutions, participate in SDLC, and ensure data quality through testing and documentation.