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.