Data Pipeline Engineering: You design, build, test, deploy, and support scalable data pipelines across a modern cloud-based data platform, with a strong emphasis on GCP-based engineering patterns and cost-efficient cloud service utilization.
BigQuery Optimization: You build and optimize robust data solutions around BigQuery as our core analytical data platform, developing performant transformation logic, structured datasets, and reusable engineering components.
Ingestion & Messaging Integration: You implement end-to-end data ingestion, integration, and event-driven or streaming patterns utilizing cloud technologies like Pub/Sub and Kafka-based integration concepts.
Orchestration & Workflow Automation: You develop and maintain orchestration workflows for reliable data processing in cloud-native environments, applying sound data modeling and storage design principles for analytical consumption.
Stakeholder & AI Enablement Collaboration: You collaborate closely with GCP Architects, analytics, and AI stakeholders to prepare fit-for-purpose analytical datasets, ensuring effective handover into Power BI data models or future AI-enabled use cases.
Quality Assurance & Governance: You ensure high engineering quality, traceability, and observability across the engineered data landscape through structured testing, versioning, documentation, monitoring, and production support, while guiding internal and external delivery contributors on data engineering best practices.
