Senior GCP Data Engineer

Tech stack: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, etc.) BI/ETL Tools & Big Data Technologies Relational Databases (SQL) & NoSQL/Big Data storage Data Vault 2.0, Data Mesh, Data Fabric Requirements: 5+ years of hands-on experience building complex, production-grade data solutions. 3+ years of dedicated experience within the Google Cloud Platform ecosystem. Proven track record with BI/ETL and Big Data technologies. Strong understanding of relational database design and big data architectural patterns. Experience with real-time data processing and sophisticated data warehousing aggregation. Deep understanding of Data Fabric, Data Mesh, and Data Vault methodologies. Ability to lead technical discussions and explain complex architectural choices to stakeholders. Project description: We are looking for a Senior Data Engineer to join our team and lead the design and implementation of high-performance, scalable data architectures. You will be a key player in shaping our data ecosystem, leveraging the full power of Google Cloud Platform (GCP) to solve complex business challenges. Main responsibilities: Design and develop end-to-end, complex data solutions and ETL/ELT pipelines. Utilize GCP services to manage big data workloads and real-time processing. Implement data warehousing aggregations and real-time streaming solutions. Facilitate design discussions, document architectural decisions, and ensure best practices across the data lifecycle. Apply Data Vault, Data Mesh, and Data Fabric principles to create a future-proof data environment.