Our Telecom client is seeking a Senior Data Engineer (10+ years) to support Teradata to Big

Query migration initiatives using Big

Query, Dataflow, Teradata, and SAS.

Join a data engineering initiative focused on modernizing analytical workloads and supporting migration from Teradata to Big

Query.

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 Big





Query 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 Big

Query 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 Big

Query capabilities Validate business outputs between SAS and cloud-based implementations Experience with Big

Query, GCP, Teradata and SAS.

📌 Senior Data Engineer (10+ years) to support Teradata to BigQuery migration initiatives using BigQuery, Dataflow, Teradata, and SAS - 10289 (Toronto)
🏢 S.i. Systems
📍 Toronto