Senior Data Engineer (10+ years) to support Teradata to BigQuery migration initiatives using

Our Telecom client is seeking a Senior Data Engineer (10+ years) to support Teradata to BigQuery migration initiatives using BigQuery, Dataflow, Teradata, and SAS.

Join a data engineering initiative focused on modernizing analytical workloads and supporting migration from Teradata to BigQuery. This role focuses on building and optimizing batch and near-real-time data pipelines, reusable ingestion and orchestration frameworks, and cloud-native processing solutions. The position supports ongoing data engineering enhancements and validation of business outputs between SAS and cloud-based implementations.

Location: Remote (Candidate needs to be from Mississauga or Toronto)

6 months contract (Posibility of extension)

Must Haves

• 10+ years in Data Engineering supporting large-scale data analytics initiatives
• BigQuery and GCP for cloud-native data processing and dataset optimization
• Teradata and SAS transformation and analytical workload modernization
• Dataflow for batch and near-real-time data pipeline development

Nice to Have

• Experience validating business outputs between SAS and cloud-based implementations
• Exposure to automated validation and reconciliation processes between source and target systems

Responsibilities

• Develop and maintain batch and near-real-time data pipelines using cloud-native technologies
• Build reusable data ingestion, transformation, and orchestration frameworks
• Optimize BigQuery datasets, partitioning, clustering, and query performance
• Develop automated validation and reconciliation processes to ensure data accuracy between source and target systems
• Convert SAS and Teradata-based transformations and business logic to SQL and cloud-native processing frameworks
• Support modernization of SAS analytical workloads leveraging BigQuery capabilities
• Validate business outputs between SAS and cloud-based implementations
• Experience with BigQuery, GCP, Teradata and SAS.