Data Engineer

INFOSYS NOVA HOLDINGS LLC; Charlotte (NC); Hybrid; USD 100,000 - 130,000; Full time

Job summary

INFOSYS NOVA HOLDINGS LLC in Charlotte, NC is seeking a Data Engineer to design and build scalable data pipelines and support cloud migration to Google Cloud. This role focuses on modernizing enterprise data platforms and ensuring data quality.

You will collaborate with architects, developers, analysts, and business stakeholders to deliver reliable data solutions, optimize SQL queries, and migrate legacy environments to GCP and BigQuery.

Qualifications

• 5+ years of experience in Data Engineering, ETL Development, or Data Integration.
• Strong SQL development and query optimization skills.
• Experience building and maintaining enterprise data pipelines.
• Understanding of data warehousing concepts and ETL best practices.
• Excellent communication and problem-solving skills.

Responsibilities

• Design, develop, and maintain enterprise ETL/data integration pipelines.
• Build and optimize data solutions using GCP, BigQuery, Ab Initio, and Teradata.
• Support migration of legacy data platforms to Google Cloud.
• Develop and optimize SQL queries, data models, and data warehouse solutions.
• Ensure data quality, performance, and reliability across enterprise systems.
• Collaborate with architects, developers, analysts, and business stakeholders to deliver scalable data solutions.
• Troubleshoot and resolve data integration and performance issues.

Skills

5+ years experience

SQL development

Data pipelines

Tools

GCP

BigQuery

Ab Initio

Teradata

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Charlotte, NC, US

22 days ago Requisition ID: 1295

Salary Range: $100,000.00 To $130,000.00 Annually

Location: Charlotte, NC (Hybrid)
Schedule: Full-Time | Hybrid (3 days onsite)
Interview Process: In-Person Interview Required

About the Role

We are seeking a Data Engineer to join a team focused on modernizing enterprise data platforms and supporting cloud migration initiatives. This is a hands-on role where you'll design and build scalable data pipelines, optimize data workflows, and help transition legacy data environments to Google Cloud.

Responsibilities

• Design, develop, and maintain enterprise ETL/data integration pipelines.
• Build and optimize data solutions usingGCP, BigQuery, Ab Initio, and Teradata.
• Support migration of legacy data platforms to Google Cloud.
• Develop and optimize SQL queries, data models, and data warehouse solutions.
• Ensure data quality, performance, and reliability across enterprise systems.
• Collaborate with architects, developers, analysts, and business stakeholders to deliver scalable data solutions.
• Troubleshoot and resolve data integration and performance issues.

Qualifications

• 5+ years of experience in Data Engineering, ETL Development, or Data Integration.
• Hands-on experience with GCP, BigQuery, Ab Initio, and/or Teradata.
• Strong SQL development and query optimization skills.
• Experience building and maintaining enterprise data pipelines.
• Understanding of data warehousing concepts and ETL best practices.
• Excellent communication and problem-solving skills.

Preferred Qualifications

• Experience supporting cloud migration initiatives.
• Background working in large enterprise or regulated environments.
• Familiarity with Agile development methodologies.

If you're passionate about building scalable data solutions and working on enterprise cloud modernization initiatives, we'd love to connect.