Senior GCP Data Engineer (Siebel or Kenan or any Data Migration)

Senior GCP Data Engineer Data Migration

Job Description

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.
• Strong 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.
• Good knowledge of Python for data engineering and automation.
• Experience with STRIIM is highly desirable.
• Good to have experience with Google Dataplex for data governance and controls.
• Strong understanding of data architecture, data integration patterns, and cloud data platforms.

Good to Have

• Google Dataplex
• STRIIM
• Python
• Data governance and metadata management
• Enterprise application data migration
• Data quality and validation frameworks