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Data Engineer

Kaleidoscope Innovation

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.

Vacancy posted 3 days ago
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