Data Engineer
Infosys
Charlotte, NC, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $130,000.0
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
BigQuery
Information Engineering
Data Integration
Extract Transform Load (ETL)
Data Systems
Data Warehousing
Query Optimization
SQL Databases
Teradata SQL
Enterprise Data Management
Google Cloud
+3 more
Ab Initio
Data Management
Data Pipelines
Job description
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., * 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.
Requirements
- 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., * 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.
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