Technical PM with Data experience

Build and maintain data pipelines on Google Cloud Platform (GCP) using Dataflow for batch and/or streaming processing workflowsDevelop and maintain robust data transformation layers using Dataform and/or dbt, following best practices in modeling, testing, documentation, and deployment patternsDesign end-to-end enterprise data architectures for large-scale analytics and operational use cases, ensuring scalability, reliability, and governanceStrong experience in building Master Data Management experience with data engineering experience.Translate complex business requirements into conceptual, logical, and physical data models that align with organizational goals and technical constraintsApply deep BigQuery expertise including schema design, partitioning and clustering strategies, and continuous cost and performance optimizationWrite complex SQL transformations and analytics queries across large-scale datasets with a high degree of accuracy and performance awarenessLeverage programming skills (Python, Java, Scala, or equivalent) to support automation, pipeline logic, orchestration, and data utility developmentUtilize enterprise data modeling tools such as SAP PowerDesigner and/or ERwin to produce well-documented, standards-compliant data modelsCollaborate within CI/CD and Git-based workflows, including branching strategies, peer code reviews, automated testing, and managed deployments for data and analytics engineeringPay: 4,000,[hidden],500,000.00 per year

Benefits:

Food providedWork Location: In person .