We are looking for a Senior GCP Data Engineer with strong experience in cloud data engineering, data integration, ETL/ELT, and data migration. Experience with Siebel, Kenan, or similar large-scale data migration projects is mandatory.
Key Responsibilities
Design, develop, and implement scalable data pipelines on Google Cloud Platform (GCP).
Develop data integration solutions using ETL/ELT frameworks and API integrations.
Build and optimize data solutions using Google BigQuery.
Design metadata-driven ETL/ELT pipelines and implement data quality frameworks.
Develop and maintain data orchestration workflows using Google Cloud Composer.
Implement data migration solutions for enterprise applications, including Siebel, Kenan, or similar platforms.
Work with large and complex datasets and ensure data accuracy, consistency, and reliability.
Implement data governance, metadata management, and data discovery practices.
Collaborate with stakeholders to understand data requirements and translate them into scalable technical solutions.
Troubleshoot and optimize data pipelines, queries, and integration processes.
Required Skills & Experience
Strong hands-on experience with GCP Data Engineering.
Excellent knowledge of Google BigQuery.
Strong SQL skills with experience in query optimization and complex data transformations.
Robust experience in ETL/ELT development and design.
Experience with API-based data integration.
Hands-on experience with data migration projects.
Siebel, Kenan, or equivalent enterprise data migration experience is mandatory.
Experience with data orchestration using Google Cloud Composer.
Experience designing and implementing metadata-driven ETL pipelines.
Experience with Data Quality (DQ) frameworks and processes.
Valuable knowledge of Python for data engineering and automation.
Experience with STRIIM is highly desirable.
Valuable to have experience with Google Da