Senior GCP Data Engineer

<h3><strong>Tech stack:</strong></h3><ul><li><p>Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, etc.)</p></li><li><p>BI/ETL Tools &amp; Big Data Technologies</p></li><li><p>Relational Databases (SQL) &amp; NoSQL/Big Data storage</p></li><li><p>Data Vault 2.0, Data Mesh, Data Fabric</p></li></ul><h3><strong>Requirements:</strong></h3><ul><li><p>5+ years of hands-on experience building complex, production-grade data solutions.</p></li><li><p>3+ years of dedicated experience within the Google Cloud Platform ecosystem.</p></li><li><p>Proven track record with BI/ETL and Big Data technologies.</p></li><li><p>Strong understanding of relational database design and big data architectural patterns.</p></li><li><p>Experience with real-time data processing and sophisticated data warehousing aggregation.</p></li><li><p>Deep understanding of Data Fabric, Data Mesh, and Data Vault methodologies.</p></li><li><p>Ability to lead technical discussions and explain complex architectural choices to stakeholders.</p></li></ul><h3><strong>Project description:</strong></h3><p>We are looking for a <strong>Senior Data Engineer</strong> 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. </p><h3><strong>Main responsibilities:</strong></h3><ul><li><p>Design and develop end-to-end, complex data solutions and ETL/ELT pipelines.</p></li><li><p>Utilize GCP services to manage big data workloads and real-time processing.</p></li><li><p>Implement data warehousing aggregations and real-time streaming solutions.</p></li><li><p>Facilitate design discussions, document architectural decisions, and ensure best practices across the data lifecycle.</p></li><li><p>Apply Data Vault, Data Mesh, and Data Fabric principles to create a future-proof data environment.</p></li></ul>