Data Engineer
INFOSYS NOVA HOLDINGS LLC · Charlotte, North Carolina, United States · $100K–$130K/yr
IT Services and IT Consulting · 10,001+ employees
About the role
The Data Engineer will design, develop, and maintain enterprise ETL pipelines while supporting the migration of legacy data environments to Google Cloud. They will collaborate with stakeholders to optimize data models and ensure the reliability and performance of enterprise data systems.
What they look for
Requirements
Candidates must have at least 5 years of experience in Data Engineering or ETL development with proficiency in GCP, BigQuery, Ab Initio, or Teradata. Strong SQL skills and experience with enterprise data warehousing concepts are required for this role.
Full description
Data Engineer
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 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.
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.
