Data Engineer - Cloud Modernization & Pipelines (Hybrid)

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

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.